Integrative Computational Network Biology Lab @ MBZUAI

Our Research Publications

We publish high-impact peer-reviewed research in leading journals across computational network biology, multi-omics integration, precision medicine, AI-driven systems biology, and network-based drug discovery.

All publications

2025

iTissue
iTissue
Carme Zambrana, Noël Malod-Dognin, Nataša Pržulj
Cold Spring Harbor Laboratory  ·  08 Jun 2025  ·  doi:10.1101/2025.06.04.657816
Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data
Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data
Zuqi Li, Sam F L Windels, Noël Malod-Dognin, Seth M Weinberg, Mary L Marazita, …, Mark D Shriver, David W Fardo, Peter Claes, Nataša Pržulj, Kristel Van Steen
Bioinformatics  ·  22 Mar 2025  ·  doi:10.1093/bioinformatics/btaf122
Biological databases in the age of generative artificial intelligence.
Biological databases in the age of generative artificial intelligence.
Mihai Pop, Teresa K Attwood, Judith A Blake, Philip E Bourne, Ana Conesa, …, Teresa M Przytycka, Shoba Ranganathan, Russell Schwartz, Alfonso Valencia, Tandy Warnow
Bioinformatics advances  ·  20 Mar 2025  ·  pmid:40177265
Simplicity within biological complexity
Simplicity within biological complexity
Nataša Pržulj, Noël Malod-Dognin
Bioinformatics Advances  ·  06 Feb 2025  ·  doi:10.1093/bioadv/vbae164
Author Correction, Systematic protein-protein interaction mapping for clinically relevant human GPCRs
Author Correction, Systematic protein-protein interaction mapping for clinically relevant human GPCRs
Kate Sokolina, Saranya Kittanakom, Jamie Snider, Max Kotlyar, Pascal Maurice, …, Mohan Babu, Francisco Ciruela, Ralf Jockers, Igor Jurisica, Igor Stagljar
Molecular systems biology  ·  03 Feb 2025  ·  doi:10.1093/bioadv/vbae164

2024

Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks
Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks
Sam F L Windels, Daniel Tello Velasco, Mikhail Rotkevich, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics  ·  01 Nov 2024  ·  doi:10.1093/bioinformatics/btae650
Simplifying complex machine learning by linearly separable network embedding spaces
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos, Noël Malod-Dognin, Nataša Pržulj
arXiv  ·  02 Oct 2024  ·  doi:10.48550/arXiv.2410.01865
MONFIT: Multi-omics factorization-based integration of time-series data sheds light on Parkinson s disease
MONFIT: Multi-omics factorization-based integration of time-series data sheds light on Parkinson's disease
Katarina Mihajlović, Noël Malod-Dognin, Corrado Ameli, Alexander Skupin, Nataša Pržulj
NAR Molecular Medicine  ·  24 Sep 2024  ·  doi:10.1093/narmme/ugae012
Current and future directions in network biology
Current and future directions in network biology
Marinka Zitnik, Michelle M Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, …, Hanghang Tong, Xinan Holly Yang, Byung-Jun Yoon, Haiyuan Yu, Tijana Milenković
Bioinformatics advances  ·  14 Aug 2024  ·  pmc:PMC11321866
Drugst.One - a plug-and-play solution for online systems medicine and network-based drug repurposing
Drugst.One - a plug-and-play solution for online systems medicine and network-based drug repurposing
Andreas Maier, Michael Hartung, Mark Abovsky, Klaudia Adamowicz, Gary D Bader, …, Nico Trummer, Ugur Turhan, Rui-Sheng Wang, Olga Zolotareva, Jan Baumbach
Nucleic acids research  ·  05 Jul 2024  ·  pmc:PMC11223884
Bridging the Gap in Precision Medicine: TranSYS Training Programme for Next-Generation Scientists
Bridging the Gap in Precision Medicine: TranSYS Training Programme for Next-Generation Scientists
Lara Andreoli, Catalina Berca, Sonja Sonja Katz, Maryna Korshevniuk, Ritchie Head, Kristel Van Steen, TranSYS Consortium
Frontiers in Medicine  ·  24 May 2024  ·  doi:10.3389/fmed.2024.1348148
Graphlets correct for the topological information missed by random walks
Graphlets correct for the topological information missed by random walks
Sam F. L. Windels, Noël Malod-Dognin, Nataša Pržulj
arXiv  ·  23 May 2024  ·  doi:10.48550/arXiv.2405.14194
The axes of biology: a novel axes-based network embedding paradigm to decipher the functional mechanisms of the cell
The axes of biology: a novel axes-based network embedding paradigm to decipher the functional mechanisms of the cell
Sergio Doria-Belenguer, Alexandros Xenos, Gaia Ceddia, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics advances  ·  23 May 2024  ·  pmc:PMC11142626
Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson s disease.
Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease.
Katarina Mihajlović, Gaia Ceddia, Noël Malod-Dognin, Gabriela Novak, Dimitrios Kyriakis, Alexander Skupin, Nataša Pržulj
Scientific reports  ·  14 May 2024  ·  pmid:38744869
Graphlet-based higher-order network embeddings: the past, the present and the future
Graphlet-based higher-order network embeddings: the past, the present and the future
Sam F. L. Windels, Noël Malod-Dognin, Nataša Pržulj
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  graphlet-higherorder-2024
Pan-viral disease mechanisms unveil the sweet spot for therapeutic intervention
"Pan-viral" disease mechanisms unveil the sweet spot for therapeutic intervention
Carme Zambrana, Sam F. L. Windels, Noël Malod-Dognin, Nataša Pržulj
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  panviral-2024
Towards a linearly organised embedding space of biological networks
Towards a linearly organised embedding space of biological networks
Alexandros Xenos, Noël Malod-Dognin, Nataša Pržulj
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  linear-embedding-2024
PCR-based nanopore sequencing method for characterizing short tandem repeat expansions
PCR-based nanopore sequencing method for characterizing short tandem repeat expansions
Nataša Pržulj, Lana Radenković, Jovan Pesović, Vladimir Tomić, Igor Davidović, Nemanja Radanović, Ana Popić, Dušanka Savić-Pavićević
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  pcr-nanopore-2024
Estimating the dimensionality of omics network embedding space
Estimating the dimensionality of omics network embedding space
Milena Stojić, Noël Malod-Dognin, Nataša Pržulj
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  dimspace-2024
INMTD: integrative clustering with 2D genotypes and 3D facial images in the presence of confounders
INMTD: integrative clustering with 2D genotypes and 3D facial images in the presence of confounders
Zuqi Li, Sam F. L. Windels, Seth Weinberg, Mary L. Marazita, Susan Walsh, …, Noël Malod-Dognin, David Fardo, Peter Claes, Nataša Pržulj, Kristel Van Steen
5th Belgrade Bioinformatics Conference  ·  01 Jan 2024  ·  inmtc-2024

2023

A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma.
A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma.
Vincent Gureghian, Hailee Herbst, Ines Kozar, Katarina Mihajlovic, Noël Malod-Dognin, …, Arnaud Muller, Marek Ostaszewski, Fabrice Tolle, Nataša Pržulj, Stephanie Kreis
Cancer gene therapy  ·  07 Jul 2023  ·  pmid:37420093
A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia.
A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia.
Noël Malod-Dognin, Gaia Ceddia, Maja Gvozdenov, Branko Tomić, Sofija Dunjić Manevski, Valentina Djordjević, Nataša Pržulj
PloS one  ·  25 Apr 2023  ·  pmid:37098010
A functional analysis of omic network embedding spaces reveals key altered functions in cancer
A functional analysis of omic network embedding spaces reveals key altered functions in cancer
Sergio Doria-Belenguer, Alexandros Xenos, Gaia Ceddia, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics  ·  21 Apr 2023  ·  doi:10.1093/bioinformatics/btad281
Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates
Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates
Alexandros Xenos, Noël Malod-Dognin, Carme Zambrana, Nataša Pržulj
International Journal of Molecular Sciences  ·  11 Jan 2023  ·  doi:10.3390/ijms24021431

2022

Identifying cellular cancer mechanisms through pathway-driven data integration
Identifying cellular cancer mechanisms through pathway-driven data integration
Sam F L Windels, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  15 Sep 2022  ·  pmc:PMC9477533
Big Data to Knowledge Analytics Reveals the Zika Virus Epidemic as Only One of Multiple Factors Contributing to a Year-Over-Year 28-Fold Increase in Microcephaly Incidence
Big Data to Knowledge Analytics Reveals the Zika Virus Epidemic as Only One of Multiple Factors Contributing to a Year-Over-Year 28-Fold Increase in Microcephaly Incidence
Myriam Patricia Cifuentes, Clara Mercedes Suarez, Ricardo Cifuentes, Noel Malod-Dognin, Sam Windels, …, Wansoo Im, Maureen Lichtveld, Charles Mouton, Nataša Pržulj, Darryl B Hood
International journal of environmental research and public health  ·  25 Jul 2022  ·  pmc:PMC9331749
Graphlet eigencentralities capture novel central roles of genes in pathways.
Graphlet eigencentralities capture novel central roles of genes in pathways.
Sam F L Windels, Noël Malod-Dognin, Nataša Pržulj
PloS one  ·  25 Jan 2022  ·  pmid:35077468

2021

Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets.
Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets.
D A Salazar, N Pržulj, C F Valencia
Bioinformatics (Oxford, England)  ·  11 Dec 2021  ·  pmid:34375392
Linear functional organization of the omic embedding space
Linear functional organization of the omic embedding space
A Xenos, N Malod-Dognin, S Milinković, N Pržulj
Bioinformatics (Oxford, England)  ·  05 Nov 2021  ·  pmc:PMC8570782
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates.
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates.
Carme Zambrana, Alexandros Xenos, René Böttcher, Noël Malod-Dognin, Nataša Pržulj
Scientific reports  ·  23 Sep 2021  ·  pmid:34556735
Classification in biological networks with hypergraphlet kernels.
Classification in biological networks with hypergraphlet kernels.
Jose Lugo-Martinez, Daniel Zeiberg, Thomas Gaudelet, Noël Malod-Dognin, Natasa Przulj, Predrag Radivojac
Bioinformatics (Oxford, England)  ·  17 May 2021  ·  pmid:32886115

2020

Probabilistic graphlets capture biological function in probabilistic molecular networks.
Probabilistic graphlets capture biological function in probabilistic molecular networks.
Sergio Doria-Belenguer, Markus K Youssef, René Böttcher, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  30 Dec 2020  ·  pmid:33381834
Chromatin network markers of leukemia.
Chromatin network markers of leukemia.
N Malod-Dognin, V Pancaldi, A Valencia, N Pržulj
Bioinformatics (Oxford, England)  ·  01 Jul 2020  ·  pmid:32657405
Unveiling new disease, pathway, and gene associations via multi-scale neural network.
Unveiling new disease, pathway, and gene associations via multi-scale neural network.
Thomas Gaudelet, Noël Malod-Dognin, Jon Sánchez-Valle, Vera Pancaldi, Alfonso Valencia, Nataša Pržulj
PloS one  ·  06 Apr 2020  ·  pmid:32251458

2019

Graphlet Laplacians for topology-function and topology-disease relationships.
Graphlet Laplacians for topology-function and topology-disease relationships.
Sam F L Windels, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  15 Dec 2019  ·  pmid:31192358
Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho 2,1-b thiophene derivatives.
Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho[2,1-b]thiophene derivatives.
Nataša Perin, Valentina Rep, Irena Sović, Štefica Juričić, Danijel Selgrad, …, Nataša Pržulj, Chhedi Lal Gupta, Noël Malod-Dognin, Sandra Kraljević Pavelić, Marijana Hranjec
European journal of medicinal chemistry  ·  06 Nov 2019  ·  pmid:31734024
Functional geometry of protein interactomes.
Functional geometry of protein interactomes.
Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  01 Oct 2019  ·  pmid:30821317
Author Correction: Towards a data-integrated cell.
Author Correction: Towards a data-integrated cell.
Noël Malod-Dognin, Julia Petschnigg, Sam F L Windels, Janez Povh, Harry Hemingway, Robin Ketteler, Nataša Pržulj
Nature communications  ·  21 May 2019  ·  pmid:31113941
Analyzing Network Data in Biology and Medicine
Analyzing Network Data in Biology and Medicine
Cambridge University Press  ·  18 Mar 2019  ·  doi:10.1017/9781108377706
Towards a data-integrated cell
Towards a data-integrated cell
Noël Malod-Dognin, Julia Petschnigg, Sam F L Windels, Janez Povh, Harry Hemingway, Robin Ketteler, Nataša Pržulj
Nature communications  ·  18 Feb 2019  ·  pmc:PMC6379402

2018

Critical Review on Zeolite Clinoptilolite Safety and Medical Applications
Critical Review on Zeolite Clinoptilolite Safety and Medical Applications
Sandra Kraljević Pavelić, Jasmina Simović Medica, Darko Gumbarević, Ana Filošević, Nataša Pržulj, Krešimir Pavelić
Frontiers in pharmacology  ·  27 Nov 2018  ·  pmid:30538633
Higher-order molecular organization as a source of biological function.
Higher-order molecular organization as a source of biological function.
Thomas Gaudelet, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  01 Sep 2018  ·  pmid:30423061
Precision medicine A promising, yet challenging road lies ahead
Precision medicine ― A promising, yet challenging road lies ahead
Noël Malod-Dognin, Julia Petschnigg, Nataša Pržulj
Current Opinion in Systems Biology  ·  01 Feb 2018  ·  doi:10.1016/j.coisb.2017.10.003

2017

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.
Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.
Noël Malod-Dognin, Nataša Pržulj
Journal of integrative bioinformatics  ·  10 Jun 2017  ·  pmid:28600905
Unified Alignment of Protein-Protein Interaction Networks.
Unified Alignment of Protein-Protein Interaction Networks.
Noël Malod-Dognin, Kristina Ban, Nataša Pržulj
Scientific reports  ·  19 Apr 2017  ·  pmid:28424527
Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods.
Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods.
Ömer Nebil Yaveroglu, Noël Malod-Dognin, Tijana Milenkovic, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  01 Apr 2017  ·  pmid:28073757
Systematic protein-protein interaction mapping for clinically relevant human GPCRs.
Systematic protein-protein interaction mapping for clinically relevant human GPCRs.
Kate Sokolina, Saranya Kittanakom, Jamie Snider, Max Kotlyar, Pascal Maurice, …, Mohan Babu, Francisco Ciruela, Ralf Jockers, Igor Jurisica, Igor Stagljar
Molecular systems biology  ·  15 Mar 2017  ·  pmid:28298427

2016

Graphlet-based Characterization of Directed Networks.
Graphlet-based Characterization of Directed Networks.
Anida Sarajlić, Noël Malod-Dognin, Ömer Nebil Yaveroğlu, Nataša Pržulj
Scientific reports  ·  13 Oct 2016  ·  pmid:27734973
A global genetic interaction network maps a wiring diagram of cellular function.
A global genetic interaction network maps a wiring diagram of cellular function.
Michael Costanzo, Benjamin VanderSluis, Elizabeth N Koch, Anastasia Baryshnikova, Carles Pons, …, Adam P Rosebrock, Amy A Caudy, Chad L Myers, Brenda Andrews, Charles Boone
Science (New York, N.Y.)  ·  23 Sep 2016  ·  pmid:27708008
NETWORK ANALYSIS. Network analytics in the age of big data.
NETWORK ANALYSIS. Network analytics in the age of big data.
Nataša Pržulj, Noël Malod-Dognin
Science (New York, N.Y.)  ·  08 Jul 2016  ·  pmid:27387938
Integrative methods for analyzing big data in precision medicine.
Integrative methods for analyzing big data in precision medicine.
Vladimir Gligorijević, Noël Malod-Dognin, Nataša Pržulj
Proteomics  ·  01 Mar 2016  ·  pmid:26677817
PATIENT-SPECIFIC DATA FUSION FOR CANCER STRATIFICATION AND PERSONALISED TREATMENT.
PATIENT-SPECIFIC DATA FUSION FOR CANCER STRATIFICATION AND PERSONALISED TREATMENT.
Vladimir Gligorijević, Noël Malod-Dognin, Nataša Pržulj
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  ·  01 Jan 2016  ·  pmid:26776197
Computational Methods for Integration of Biological Data
Computational Methods for Integration of Biological Data
Vladimir Gligorijević, Nataša Pržulj
Europeanization and Globalization  ·  01 Jan 2016  ·  doi:10.1007/978-3-319-39349-0_8

2015

Fuse: multiple network alignment via data fusion.
Fuse: multiple network alignment via data fusion.
Vladimir Gligorijević, Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  14 Dec 2015  ·  pmid:26668003
Methods for biological data integration: perspectives and challenges.
Methods for biological data integration: perspectives and challenges.
Vladimir Gligorijević, Nataša Pržulj
Journal of the Royal Society, Interface  ·  06 Nov 2015  ·  pmid:26490630
Proper evaluation of alignment-free network comparison methods.
Proper evaluation of alignment-free network comparison methods.
Ömer Nebil Yaveroğlu, Tijana Milenković, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  24 Mar 2015  ·  pmid:25810431
L-GRAAL: Lagrangian graphlet-based network aligner.
L-GRAAL: Lagrangian graphlet-based network aligner.
Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  28 Feb 2015  ·  pmid:25725498
Topology-function conservation in protein-protein interaction networks.
Topology-function conservation in protein-protein interaction networks.
Darren Davis, Ömer Nebil Yaveroğlu, Noël Malod-Dognin, Aleksandar Stojmirovic, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  20 Jan 2015  ·  pmid:25609797
b ergm.graphlets b : A Package for ERG Modeling Based on Graphlet Statistics
ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics
Ömer Nebil Yaveroglu, Sean M. Fitzhugh, Maciej Kurant, Athina Markopoulou, Carter T. Butts, Natasa Przulj
Journal of Statistical Software  ·  01 Jan 2015  ·  doi:10.18637/jss.v065.i12

2014

The integrated disease network.
The integrated disease network.
Kai Sun, Natalie Buchan, Chris Larminie, Nataša Pržulj
Integrative biology : quantitative biosciences from nano to macro  ·  01 Nov 2014  ·  pmid:25133803
Network wiring of pleiotropic kinases yields insight into protective role of diabetes on aneurysm.
Network wiring of pleiotropic kinases yields insight into protective role of diabetes on aneurysm.
Anida Sarajlić, Vladimir Gligorijević, Djordje Radak, Nataša Pržulj
Integrative biology : quantitative biosciences from nano to macro  ·  01 Nov 2014  ·  pmid:25098752
Anti-nicastrin monoclonal antibodies elicit pleiotropic anti-tumour pharmacological effects in invasive breast cancer cells.
Anti-nicastrin monoclonal antibodies elicit pleiotropic anti-tumour pharmacological effects in invasive breast cancer cells.
Aleksandra Filipović, Ylenia Lombardo, Monica Faronato, Joel Abrahams, Eric Aboagye, …, Anida Sarajlić, Jean-Rene Alattia, Patrick Fraering, Mahendra Deonarain, R Charles Coombes
Breast cancer research and treatment  ·  24 Sep 2014  ·  pmid:25248409
Predicting disease associations via biological network analysis.
Predicting disease associations via biological network analysis.
Kai Sun, Joana P Gonçalves, Chris Larminie, Nataša Przulj
BMC bioinformatics  ·  17 Sep 2014  ·  pmid:25228247
Integration of molecular network data reconstructs Gene Ontology.
Integration of molecular network data reconstructs Gene Ontology.
Vladimir Gligorijević, Vuk Janjić, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  01 Sep 2014  ·  pmid:25161252
The topology of the growing human interactome data.
The topology of the growing human interactome data.
Vuk Janjić, Nataša Pržulj
Journal of integrative bioinformatics  ·  23 Jun 2014  ·  pmid:24953453
Bridging the gaps in systems biology.
Bridging the gaps in systems biology.
Marija Cvijovic, Joachim Almquist, Jonas Hagmar, Stefan Hohmann, Hans-Michael Kaltenbach, …, Szymon Stoma, Frank Tobin, Judith A H Wodke, Riccardo Zecchina, Mats Jirstrand
Molecular genetics and genomics : MGG  ·  13 Apr 2014  ·  pmid:24728588
Revealing the hidden language of complex networks.
Revealing the hidden language of complex networks.
Ömer Nebil Yaveroğlu, Noël Malod-Dognin, Darren Davis, Zoran Levnajic, Vuk Janjic, Rasa Karapandza, Aleksandar Stojmirovic, Nataša Pržulj
Scientific reports  ·  01 Apr 2014  ·  pmid:24686408
Survey of network-based approaches to research of cardiovascular diseases.
Survey of network-based approaches to research of cardiovascular diseases.
Anida Sarajlić, Nataša Pržulj
BioMed research international  ·  20 Mar 2014  ·  pmid:24772427
Modelling the yeast interactome.
Modelling the yeast interactome.
Vuk Janjić, Roded Sharan, Nataša Pržulj
Scientific reports  ·  04 Mar 2014  ·  pmid:24589662
GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity.
GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity.
Noël Malod-Dognin, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  17 Jan 2014  ·  pmid:24443377

2013

The role of genes co-amplified with nicastrin in breast invasive carcinoma.
The role of genes co-amplified with nicastrin in breast invasive carcinoma.
A Sarajlić, A Filipović, V Janjić, R C Coombes, N Pržulj
Breast cancer research and treatment  ·  13 Dec 2013  ·  pmid:24337538
Discovering disease-disease associations by fusing systems-level molecular data.
Discovering disease-disease associations by fusing systems-level molecular data.
Marinka Žitnik, Vuk Janjić, Chris Larminie, Blaž Zupan, Nataša Pržulj
Scientific reports  ·  15 Nov 2013  ·  pmid:24232732
Network topology reveals key cardiovascular disease genes.
Network topology reveals key cardiovascular disease genes.
Anida Sarajlić, Vuk Janjić, Neda Stojković, Djordje Radak, Nataša Pržulj
PloS one  ·  15 Aug 2013  ·  pmid:23977067
Graphlet-based measures are suitable for biological network comparison.
Graphlet-based measures are suitable for biological network comparison.
Wayne Hayes, Kai Sun, Nataša Pržulj
Bioinformatics (Oxford, England)  ·  23 Jan 2013  ·  pmid:23349212

2012

The Core Diseasome.
The Core Diseasome.
Vuk Janjić, Nataša Pržulj
Molecular bioSystems  ·  01 Oct 2012  ·  pmid:22820726
Biological function through network topology: a survey of the human diseasome.
Biological function through network topology: a survey of the human diseasome.
Vuk Janjić, Nataša Pržulj
Briefings in functional genomics  ·  08 Sep 2012  ·  pmid:22962330
C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks.
C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks.
Vesna Memišević, Nataša Pržulj
Integrative biology : quantitative biosciences from nano to macro  ·  10 Jan 2012  ·  pmid:22234340
Protein complex prediction with RNSC.
Protein complex prediction with RNSC.
Andrew D King, Nataša Pržulj, Igor Jurisica
Methods in molecular biology (Clifton, N.J.)  ·  01 Jan 2012  ·  pmid:22144160

2011

A framework for FPGA acceleration of large graph problems: Graphlet counting case study
A framework for FPGA acceleration of large graph problems: Graphlet counting case study
Brahim Betkaoui, David B. Thomas, Wayne Luk, Natasa Przulj
2011 International Conference on Field-Programmable Technology  ·  01 Dec 2011  ·  doi:10.1109/FPT.2011.6132667
Introduction to the Special Issue on Biological Networks
Introduction to the Special Issue on Biological Networks
Natasa Przulj
Internet Mathematics  ·  28 Nov 2011  ·  doi:10.1080/15427951.2011.621769
Random Graph Models and Their Application to Protein Protein Interaction Networks
Random Graph Models and Their Application to Protein–Protein Interaction Networks
Desmond J. Higham, Nataša Pržulj
Handbook of Statistical Systems Biology  ·  12 Sep 2011  ·  doi:10.1002/9781119970606.ch14
Dominating biological networks.
Dominating biological networks.
Tijana Milenković, Vesna Memišević, Anthony Bonato, Nataša Pržulj
PloS one  ·  26 Aug 2011  ·  pmid:21887225
Topological Characteristics of Molecular Networks
Topological Characteristics of Molecular Networks
Tijana Milenković, Nataša Pržulj
Functional Coherence of Molecular Networks in Bioinformatics  ·  24 Aug 2011  ·  doi:10.1007/978-1-4614-0320-3_2
Evidence for network evolution in an Arabidopsis interactome map.
Evidence for network evolution in an Arabidopsis interactome map.
Science (New York, N.Y.)  ·  29 Jul 2011  ·  pmid:21798944
Integrative network alignment reveals large regions of global network similarity in yeast and human.
Integrative network alignment reveals large regions of global network similarity in yeast and human.
Oleksii Kuchaiev, Natasa Przulj
Bioinformatics (Oxford, England)  ·  16 Mar 2011  ·  pmid:21414992
Protein-protein interactions: making sense of networks via graph-theoretic modeling.
Protein-protein interactions: making sense of networks via graph-theoretic modeling.
Nataša Pržulj
BioEssays : news and reviews in molecular, cellular and developmental biology  ·  01 Feb 2011  ·  pmid:21188720
GraphCrunch 2: Software tool for network modeling, alignment and clustering.
GraphCrunch 2: Software tool for network modeling, alignment and clustering.
Oleksii Kuchaiev, Aleksandar Stevanović, Wayne Hayes, Nataša Pržulj
BMC bioinformatics  ·  19 Jan 2011  ·  pmid:21244715

2010

Optimal network alignment with graphlet degree vectors.
Optimal network alignment with graphlet degree vectors.
Tijana Milenković, Weng Leong Ng, Wayne Hayes, Natasa Przulj
Cancer informatics  ·  30 Jun 2010  ·  pmid:20628593
Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.
Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.
Hsiang Ho, Tijana Milenković, Vesna Memisević, Jayavani Aruri, Natasa Przulj, Anand K Ganesan
BMC systems biology  ·  15 Jun 2010  ·  pmid:20550706
Characterization of cell cycle specific protein interaction networks of the yeast 26S proteasome complex by the QTAX strategy.
Characterization of cell cycle specific protein interaction networks of the yeast 26S proteasome complex by the QTAX strategy.
Robyn M Kaake, Tijana Milenković, Natasa Przulj, Peter Kaiser, Lan Huang
Journal of proteome research  ·  05 Apr 2010  ·  pmid:20170199
Complementarity of network and sequence information in homologous proteins.
Complementarity of network and sequence information in homologous proteins.
Vesna Memisevic, Tijana Milenkovic, Natasa Przulj
Journal of integrative bioinformatics  ·  25 Mar 2010  ·  pmid:20375452
An integrative approach to modeling biological networks.
An integrative approach to modeling biological networks.
Vesna Memisevic, Tijana Milenkovic, Natasa Przulj
Journal of integrative bioinformatics  ·  25 Mar 2010  ·  pmid:20375453
Topological network alignment uncovers biological function and phylogeny.
Topological network alignment uncovers biological function and phylogeny.
Oleksii Kuchaiev, Tijana Milenkovic, Vesna Memisevic, Wayne Hayes, Natasa Przulj
Journal of the Royal Society, Interface  ·  17 Mar 2010  ·  pmid:20236959
Biological network comparison using graphlet degree distribution
Biological network comparison using graphlet degree distribution
Nataša Pržulj
Bioinformatics  ·  03 Mar 2010  ·  doi:10.1093/bioinformatics/btq091
Geometric evolutionary dynamics of protein interaction networks.
Geometric evolutionary dynamics of protein interaction networks.
Natasa Przulj, Oleksii Kuchaiev, Aleksandar Stevanović, Wayne Hayes
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  ·  01 Jan 2010  ·  pmid:19908370
From Topology to Phenotype in Protein Protein Interaction Networks
From Topology to Phenotype in Protein–Protein Interaction Networks
Nataša Pržulj
Network Science  ·  01 Jan 2010  ·  doi:10.1007/978-1-84996-396-1_3

2009

Geometric de-noising of protein-protein interaction networks.
Geometric de-noising of protein-protein interaction networks.
Oleksii Kuchaiev, Marija Rasajski, Desmond J Higham, Natasa Przulj
PLoS computational biology  ·  07 Aug 2009  ·  pmid:19662157
Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data.
Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data.
Tijana Milenkovic, Vesna Memisevic, Anand K Ganesan, Natasa Przulj
Journal of the Royal Society, Interface  ·  22 Jul 2009  ·  pmid:19625303
Optimized null model for protein structure networks.
Optimized null model for protein structure networks.
Tijana Milenković, Ioannis Filippis, Michael Lappe, Natasa Przulj
PloS one  ·  26 Jun 2009  ·  pmid:19557139
Structure of brain functional networks.
Structure of brain functional networks.
Oleksii Kuchaiev, Po T Wang, Zoran Nenadic, Natasa Przulj
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference  ·  01 Jan 2009  ·  pmid:19964621
Learning the structure of protein-protein interaction networks.
Learning the structure of protein-protein interaction networks.
Oleksii Kuchaiev, Natasa Przulj
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  ·  01 Jan 2009  ·  pmid:19209694

2008

Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis.
Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis.
Cortnie Guerrero, Tijana Milenkovic, Natasa Przulj, Peter Kaiser, Lan Huang
Proceedings of the National Academy of Sciences of the United States of America  ·  29 Aug 2008  ·  pmid:18757749
Uncovering biological network function via graphlet degree signatures.
Uncovering biological network function via graphlet degree signatures.
Tijana Milenković, Natasa Przulj
Cancer informatics  ·  14 Apr 2008  ·  pmid:19259413
Fitting a geometric graph to a protein-protein interaction network.
Fitting a geometric graph to a protein-protein interaction network.
Desmond J Higham, Marija Rasajski, Natasa Przulj
Bioinformatics (Oxford, England)  ·  14 Mar 2008  ·  pmid:18344248
GraphCrunch: a tool for large network analyses.
GraphCrunch: a tool for large network analyses.
Tijana Milenković, Jason Lai, Natasa Przulj
BMC bioinformatics  ·  30 Jan 2008  ·  pmid:18230190

2007

Geometric Local Structure in Biological Networks
Geometric Local Structure in Biological Networks
Natasa Przulj
2007 IEEE Information Theory Workshop  ·  01 Sep 2007  ·  doi:10.1109/ITW.2007.4313108
Not all scale-free networks are born equal: the role of the seed graph in PPI network evolution.
Not all scale-free networks are born equal: the role of the seed graph in PPI network evolution.
Fereydoun Hormozdiari, Petra Berenbrink, Natasa Przulj, S Cenk Sahinalp
PLoS computational biology  ·  01 Jul 2007  ·  pmid:17616981
Biological network comparison using graphlet degree distribution.
Biological network comparison using graphlet degree distribution.
Natasa Przulj
Bioinformatics (Oxford, England)  ·  15 Jan 2007  ·  pmid:17237089

2006

Modelling protein-protein interaction networks via a stickiness index.
Modelling protein-protein interaction networks via a stickiness index.
Natasa Przulj, Desmond J Higham
Journal of the Royal Society, Interface  ·  22 Oct 2006  ·  pmid:16971339
Efficient estimation of graphlet frequency distributions in protein-protein interaction networks.
Efficient estimation of graphlet frequency distributions in protein-protein interaction networks.
N Przulj, D G Corneil, I Jurisica
Bioinformatics (Oxford, England)  ·  01 Feb 2006  ·  pmid:16452112

2005

2-Tree probe interval graphs have a large obstruction set
2-Tree probe interval graphs have a large obstruction set
Nataša Pržulj, Derek G. Corneil
Discrete Applied Mathematics  ·  01 Sep 2005  ·  doi:10.1016/j.dam.2004.06.015
High-throughput mapping of a dynamic signaling network in mammalian cells.
High-throughput mapping of a dynamic signaling network in mammalian cells.
Miriam Barrios-Rodiles, Kevin R Brown, Barish Ozdamar, Rohit Bose, Zhong Liu, …, Mark Robinson, Harukazu Suzuki, Yoshihide Hayashizaki, Igor Jurisica, Jeffrey L Wrana
Science (New York, N.Y.)  ·  11 Mar 2005  ·  pmid:15761153

2004

Modeling interactome: scale-free or geometric
Modeling interactome: scale-free or geometric?
N Przulj, D G Corneil, I Jurisica
Bioinformatics (Oxford, England)  ·  29 Jul 2004  ·  pmid:15284103
Protein complex prediction via cost-based clustering.
Protein complex prediction via cost-based clustering.
A D King, N Przulj, I Jurisica
Bioinformatics (Oxford, England)  ·  04 Jun 2004  ·  pmid:15180928
Functional topology in a network of protein interactions.
Functional topology in a network of protein interactions.
N Przulj, D A Wigle, I Jurisica
Bioinformatics (Oxford, England)  ·  12 Feb 2004  ·  pmid:14960460
Hereditary dominating pair graphs
Hereditary dominating pair graphs
Nataša Pržulj, Derek G. Corneil, Ekkehard Köhler
Discrete Applied Mathematics  ·  01 Jan 2004  ·  doi:10.1016/S0166-218X(03)00304-4

1998

Minimum Average Time Broadcast Graphs
Minimum Average Time Broadcast Graphs
Arthur L. Liestman, Nataša Pržulj
Parallel Processing Letters  ·  01 Jun 1998  ·  doi:10.1142/s012962649800016x

Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation
Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation
Fereydoun Hormozdiari, Petra Berenbrink, Nataša Pržulj, Cenk Sahinalp
Lecture Notes in Computer Science  ·   ·  doi:10.1007/978-3-540-73060-6_1