Lukasz Kurgan

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Venues

Nucleic acids research

Biomolecules

Protein science : a publication of the Protein Society

Proteomics

Virginia Commonwealth University

University of Colorado Boulder (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Virginia Commonwealth University Sep 01 2015

United States

Robert J. Mattauch Endowed Professor :: Computer Science

University of Alberta Jul 01 2013 - Aug 31 2015

Canada

Professor :: Electrical and Computer Engineering

University of Alberta Jul 01 2007 - Jul 01 2013

Canada

Associate Professor :: Electrical and Computer Engineering

University of Alberta Jul 01 2003 - Jul 01 2007

Canada

Assistant Professor :: Electrical and Computer Engineering

University of Colorado Denver Aug 01 2002 - May 01 2003

United States

Senior Instructor :: Computer Science and Engineering

University of Colorado Denver Jan 01 2002 - May 01 2002

United States

Instructor :: Computer Science and Engineering

Education History

University of Colorado Boulder Sep 01 2000 - Jul 01 2003

United States

PHD :: Computer Science

AGH University of Science and Technology Sep 01 1994 - Jun 01 1999

Poland

MSC :: Automation and Robotics

Publications

Kui Wang, Gang Hu, Zhonghua Wu, Vladimir N Uversky, Lukasz Kurgan
Assessment of Disordered Linker Predictions in the CAID2 Experiment. Biomolecules 14 (3) (2024)
Kui Wang, Gang Hu, Zhonghua Wu, Vladimir N Uversky, Lukasz Kurgan
Assessment of Disordered Linker Predictions in the CAID2 Experiment. Biomolecules 14 (3) (2024)
Kui Wang, Gang Hu, Zhonghua Wu, Vladimir N Uversky, Lukasz Kurgan
Assessment of Disordered Linker Predictions in the CAID2 Experiment. Biomolecules 14 (3) (2024)
Lukasz Kurgan, Gang Hu, Kui Wang, Sina Ghadermarzi, Bi Zhao, Nawar Malhis, Gábor Erdős, Jörg Gsponer, Vladimir N Uversky, Zsuzsanna Dosztányi
Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins. Nature protocols (2023)
Jiangning Song, Lukasz Kurgan
Availability of web servers significantly boosts citations rates of bioinformatics methods for protein function and disorder prediction. Bioinformatics advances 3 (1) (2023)
Zhonghua Wu, Sushmita Basu, Xuantai Wu, Lukasz Kurgan
qNABpredict: Quick, accurate, and taxonomy-aware sequence-based prediction of content of nucleic acid binding amino acids. Protein science : a publication of the Protein Society 32 (1) (2023)
Fuhao Zhang, Min Li, Jian Zhang, Lukasz Kurgan
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins. Nucleic acids research 51 (5) (2023)
Sushmita Basu, Jörg Gsponer, Lukasz Kurgan
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction. Nucleic acids research (2023)
Fuhao Zhang, Min Li, Jian Zhang, Lukasz Kurgan
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins. Nucleic acids research 51 (5) (2023)
Sushmita Basu, Bi Zhao, Bálint Biró, Eshel Faraggi, Jörg Gsponer, Gang Hu, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Johannes Söding, Martin Steinegger, Duolin Wang, Kui Wang, Dong Xu, Jian Zhang, Lukasz Kurgan
DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options. Nucleic acids research (2023)
Fuhao Zhang, Min Li, Jian Zhang, Lukasz Kurgan
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins. Nucleic acids research 51 (5) (2023)
Jiangning Song, Lukasz Kurgan
Availability of web servers significantly boosts citations rates of bioinformatics methods for protein function and disorder prediction. Bioinformatics advances 3 (1) (2023)
Zhonghua Wu, Sushmita Basu, Xuantai Wu, Lukasz Kurgan
qNABpredict: Quick, accurate, and taxonomy-aware sequence-based prediction of content of nucleic acid binding amino acids. Protein science : a publication of the Protein Society 32 (1) (2023)
Jian Zhang, Sushmita Basu, Lukasz Kurgan
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins. Nucleic acids research (2023)
Fuhao Zhang, Min Li, Jian Zhang, Lukasz Kurgan
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins. Nucleic acids research (2023)
Zhonghua Wu, Sushmita Basu, Xuantai Wu, Lukasz Kurgan
qNABpredict: Quick, accurate, and taxonomy-aware sequence-based prediction of content of nucleic acid binding amino acids. Protein science : a publication of the Protein Society 32 (1) (2023)
Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz Kurgan, Jiangning Song
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic acids research (2022)
Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz Kurgan
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings in bioinformatics 23 (1) (2022)
Bi Zhao, Lukasz Kurgan
Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions. Biomolecules 12 (7) (2022)
Zhonghua Wu, Sushmita Basu, Xuantai Wu, Lukasz Kurgan
qNABpredict: quick, accurate and taxonomy-aware sequence-based prediction of content of nucleic acid binding amino acids. Protein science : a publication of the Protein Society (2022)
Zhenling Peng, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz Kurgan
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information. Briefings in bioinformatics (2022)
Ruiyang Song, Baixin Cao, Zhenling Peng, Christopher J Oldfield, Lukasz Kurgan, Ka-Chun Wong, Jianyi Yang
Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues. Biomolecules 11 (9) (2021)
Zhen Chen, Pei Zhao, Chen Li, Fuyi Li, Dongxu Xiang, Yong-Zi Chen, Tatsuya Akutsu, Roger J Daly, Geoffrey I Webb, Quanzhi Zhao, Lukasz Kurgan, Jiangning Song
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. Nucleic acids research 49 (10) (2021)
Bi Zhao, Lukasz Kurgan
Surveying over 100 predictors of intrinsic disorder in proteins. Expert review of proteomics 18 (12) (2021)
Ibrahim Yagiz Akbayrak, Sule Irem Caglayan, Serdar Durdagi, Lukasz Kurgan, Vladimir N Uversky, Burak Ulver, Havvanur Dervisoğlu, Mehmet Haklidir, Orkun Hasekioglu, Vladimir N Uversky
Structures of MERS-CoV macro domain in aqueous solution with dynamics: Impacts of parallel tempering simulation techniques and CHARMM36m and AMBER99SB force field parameters. Proteins 89 (10) (2021)
Gang Hu, Akila Katuwawala, Kui Wang, Zhonghua Wu, Sina Ghadermarzi, Jianzhao Gao, Lukasz Kurgan
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions. Nature communications 12 (1) (2021)
Jianzhao Gao, Hong Wei, Alberto Cano, Lukasz Kurgan
PSIONplusm Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules 10 (6) (2020)
Akila Katuwawala, Lukasz Kurgan
Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins. Biomolecules 10 (12) (2020)
Bi Zhao, Akila Katuwawala, Vladimir N Uversky, Lukasz Kurgan
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell. Cellular and molecular life sciences : CMLS 78 (5) (2020)
Akila Katuwawala, Christopher J Oldfield, Lukasz Kurgan
DISOselect: Disorder predictor selection at the protein level. Protein science : a publication of the Protein Society 29 (1) (2019)
Fuhao Zhang, Hong Song, Min Zeng, Yaohang Li, Lukasz Kurgan, Min Li
DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions. Proteomics 19 (12) (2019)
Fanchi Meng, Chen Wang, Lukasz Kurgan
fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization. BMC bioinformatics 18 (1) (2018)
Gang Hu, Kui Wang, Jiangning Song, Vladimir N Uversky, Lukasz Kurgan
Taxonomic Landscape of the Dark Proteomes: Whole-Proteome Scale Interplay Between Structural Darkness, Intrinsic Disorder, and Crystallization Propensity. Proteomics 18 (21-22) (2018)
Fanchi Meng, Lukasz Kurgan
High-throughput prediction of disordered moonlighting regions in protein sequences. Proteins 86 (10) (2018)
Gang Hu, Zhonghua Wu, Vladimir N Uversky, Lukasz Kurgan
Functional Analysis of Human Hub Proteins and Their Interactors Involved in the Intrinsic Disorder-Enriched Interactions. International journal of molecular sciences 18 (12) (2017)
Fanchi Meng, Vladimir N Uversky, Lukasz Kurgan
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions. Cellular and molecular life sciences : CMLS 74 (17) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lukasz Kurgan