Lukasz A. Kurgan

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 32

Top Topics

Ischemic Stroke

Intrinsically Disordered

Empirical Analysis

Top Venues

Briefings Bioinform.

Nucleic Acids Res.

Publications

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51 (W1) (2023)
Zhenling Peng, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information. Briefings Bioinform. 24 (1) (2023)
Meng Wang, Lukasz A. Kurgan, Min Li
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction. Briefings Bioinform. 24 (3) (2023)
Sushmita Basu, Jörg Gsponer, Lukasz A. Kurgan
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction. Nucleic Acids Res. 51 (W1) (2023)
Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469 (2022)
Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23 (1) (2022)
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 A. Kurgan, Jiangning Song
an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic Acids Res. 50 (W1) (2022)
Bi Zhao, Akila Katuwawala, Christopher J. Oldfield, A. Keith Dunker, Eshel Faraggi, Jörg Gsponer, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Zoran Obradovic, Johannes Söding, Martin Steinegger, Yaoqi Zhou, Lukasz A. Kurgan
DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res. 49 (Database-Issue) (2021)
Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning. Bioinform. 38 (1) (2021)
Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, Lukasz A. Kurgan
XRRpred: accurate predictor of crystal structure quality from protein sequence. Bioinform. 37 (23) (2021)
Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22 (3) (2021)
Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, Lukasz A. Kurgan
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences. Briefings Bioinform. 22 (6) (2021)
Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. 65 (2020)
Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. 21 (5) (2020)
Akila Katuwawala, Christopher J. Oldfield, Lukasz A. Kurgan
Accuracy of protein-level disorder predictions. Briefings Bioinform. 21 (5) (2020)
Abdollah Amirkhani, Mojtaba Kolahdoozi, Chen Wang, Lukasz A. Kurgan
Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Sina Ghadermarzi, Akila Katuwawala, Christopher J. Oldfield, Amita Barik, Lukasz A. Kurgan
Disordered Function Conjunction: On the In-Silico Function Annotation of Intrinsically DisorderedRegions. PSB (2020)
Lukasz A. Kurgan, Predrag Radivojac, Joel L. Sussman, A. Keith Dunker
Session Introduction. PSB (2020)
Jian Zhang, Sina Ghadermarzi, Lukasz A. Kurgan
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins. Bioinform. 36 (18) (2020)
Fuyi Li, Jinxiang Chen, André Leier, Tatiana T. Marquez-Lago, Quanzhong Liu, Yanze Wang, Jerico Nico De Leon Revote, Alexander Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinform. 36 (4) (2020)
Chen Wang, Lukasz A. Kurgan
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome. Briefings Bioinform. 20 (6) (2019)
Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. 20 (4) (2019)
Jian Zhang, Lukasz A. Kurgan
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences. Bioinform. 35 (14) (2019)
Gang Hu, Zhonghua Wu, Christopher J. Oldfield, Chen Wang, Lukasz A. Kurgan
Quality assessment for the putative intrinsic disorder in proteins. Bioinform. 35 (10) (2019)
Jian Zhang, Lukasz A. Kurgan
Review and comparative assessment of sequence-based predictors of protein-binding residues. Briefings Bioinform. 19 (5) (2018)
Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 19 (5) (2018)
Zhonghua Wu, Gang Hu, Kui Wang, Lukasz A. Kurgan
Exploratory Analysis of Quality Assessment of Putative Intrinsic Disorder in Proteins. ICAISC (1) (2017)
Fanchi Meng, Chen Wang, Lukasz A. Kurgan
fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization. BMC Bioinform. 18 (1) (2017)
Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 18 (6) (2017)
Fanchi Meng, Lukasz A. Kurgan
DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences. Bioinform. 32 (12) (2016)
Chen Wang, Gang Hu, Kui Wang, Michal Brylinski, Lei Xie, Lukasz A. Kurgan
PDID: database of molecular-level putative protein-drug interactions in the structural human proteome. Bioinform. 32 (4) (2016)
Jing Yan, Stefanie Friedrich, Lukasz A. Kurgan
A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues. Briefings Bioinform. 17 (1) (2016)
Jing Yan, Lukasz A. Kurgan
Consensus-Based Prediction of RNA and DNA Binding Residues from Protein Sequences. PReMI (2015)
Ke Chen, Dacheng Wang, Lukasz A. Kurgan
Systematic investigation of sequence and structural motifs that recognize ATP. Comput. Biol. Chem. 56 (2015)
Xiao Fan, Lukasz A. Kurgan
Comprehensive overview and assessment of computational prediction of microRNA targets in animals. Briefings Bioinform. 16 (5) (2015)
Hua Zhang, Lukasz A. Kurgan
Sequence-based Gaussian network model for protein dynamics. Bioinform. 30 (4) (2014)
Gang Hu, Kui Wang, Jody Groenendyk, Khaled H. Barakat, Marcin J. Mizianty, Jishou Ruan, Marek Michalak, Lukasz A. Kurgan
Human structural proteome-wide characterization of Cyclosporine A targets. Bioinform. 30 (24) (2014)
Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough
: database of disordered protein predictions. Nucleic Acids Res. 41 (Database-Issue) (2013)
Dat T. Nguyen, Cao D. Nguyen, Rosalyn Hobson Hargraves, Lukasz A. Kurgan, Krzysztof J. Cios
mi-DS: Multiple-Instance Learning Algorithm. IEEE Trans. Cybern. 43 (1) (2013)
Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan
Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors. Bioinform. 28 (3) (2012)
Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan
Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Trans. Syst. Man Cybern. Part B 42 (3) (2012)
Zhenling Peng, Lukasz A. Kurgan
On the Complementarity of the Consensus-Based Disorder Prediction. Pacific Symposium on Biocomputing (2012)
Fatemeh Miri Disfani, Wei-Lun Hsu, Marcin J. Mizianty, Christopher J. Oldfield, Bin Xue, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins. Bioinform. 28 (12) (2012)
Eshel Faraggi, Tuo Zhang, Yuedong Yang, Lukasz A. Kurgan, Yaoqi Zhou
SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles. J. Comput. Chem. 33 (3) (2012)
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan
In-silico prediction of disorder content using hybrid sequence representation. BMC Bioinform. 12 (2011)
Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan
Improved Sequence-Based Prediction of Strand residues. J. Bioinform. Comput. Biol. 9 (1) (2011)
Marcin J. Mizianty, Lukasz A. Kurgan
Sequence-based prediction of protein crystallization, purification and production propensity. Bioinform. 27 (13) (2011)
Hua Zhang, Tuo Zhang, Ke Chen, Kanaka Durga Kedarisetti, Marcin J. Mizianty, Qingbo Bao, Wojciech Stach, Lukasz A. Kurgan
Critical assessment of high-throughput standalone methods for secondary structure prediction. Briefings Bioinform. 12 (6) (2011)
Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela
Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification. Knowl. Eng. Rev. 25 (4) (2010)
Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, Javier Montero, Lukasz A. Kurgan, Krzysztof J. Cios
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. IEEE Trans. Neural Networks 21 (11) (2010)
Marcin J. Mizianty, Wojciech Stach, Ke Chen, Kanaka Durga Kedarisetti, Fatemeh Miri Disfani, Lukasz A. Kurgan
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources. Bioinform. 26 (18) (2010)
Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan
Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors. BIBM (2010)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets Syst. 161 (19) (2010)
Scott D. Bass, Lukasz A. Kurgan
Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology. Scientometrics 82 (2) (2010)
Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. J. Comput. Chem. 30 (1) (2009)
Yingfu Jiang, Paul Iglinski, Lukasz A. Kurgan
Prediction of protein folding rates from primary sequences using hybrid sequence representation. J. Comput. Chem. 30 (5) (2009)
Marcin J. Mizianty, Lukasz A. Kurgan
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences. BMC Bioinform. 10 (2009)
Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela
Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers. ICMLA (2008)
Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. BMC Bioinform. 9 (2008)
Rafal Rak, Lukasz A. Kurgan, Marek Reformat
Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED (2008)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE (2008)
Jishou Ruan, Hanzhe Chen, Lukasz A. Kurgan, Ke Chen, Chunsheng Kang, Peiyu Pu
HuMiTar: A sequence-based method for prediction of human microRNA targets. Algorithms Mol. Biol. 3 (2008)
Ke Chen, Lukasz A. Kurgan, Jishou Ruan
Prediction of protein structural class using novel evolutionary collocation-based sequence representation. J. Comput. Chem. 29 (10) (2008)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 16 (1) (2008)
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Natalie Ahn, Katheryn Resing, Karen Kafadar, Krzysztof J. Cios
Improved machine learning method for analysis of gas phase chemistry of peptides. BMC Bioinform. 9 (2008)
Tuo Zhang, Hua Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan
Accurate sequence-based prediction of catalytic residues. Bioinform. 24 (20) (2008)
Ce Zheng, Lukasz A. Kurgan
Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments. BMC Bioinform. 9 (2008)
Rafal Rak, Lukasz A. Kurgan, Marek Reformat
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation. Data Knowl. Eng. 64 (1) (2008)
Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy
Impact of imputation of missing values on classification error for discrete data. Pattern Recognit. 41 (12) (2008)
Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan
Sequence based residue depth prediction using evolutionary information and predicted secondary structure. BMC Bioinform. 9 (2008)
Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz
A Novel Framework for Imputation of Missing Values in Databases. IEEE Trans. Syst. Man Cybern. Part A 37 (5) (2007)
Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat
Classification of Cell Membrane Proteins. FBIT (2007)
Ke Chen, Lukasz A. Kurgan
PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinform. 23 (21) (2007)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN (2007)
Lukasz A. Kurgan, Petr Musílek
A survey of Knowledge Discovery and Data Mining process models. Knowl. Eng. Rev. 21 (1) (2006)
Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel
A new synaptic plasticity rule for networks of spiking neurons. IEEE Trans. Neural Networks 17 (1) (2006)
Ke Chen, Lukasz A. Kurgan, Jishou Ruan
Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB (2006)
Lukasz A. Kurgan, Leila Homaeian
Prediction of structural classes for protein sequences and domains - Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy. Pattern Recognit. 39 (12) (2006)
Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick
Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Trans. Syst. Man Cybern. Part B 36 (1) (2006)
Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott Dick
A comment on "Prediction of protein structural classes by a new measure of information discrepancy". Comput. Biol. Chem. 30 (5) (2006)
Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan
Prediction of the Number of Helices for the Twilight Zone Proteins. CIBCB (2006)
Lukasz A. Kurgan, Mandana Rahbari, Leila Homaeian
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins. ICMLA (2006)
Lukasz A. Kurgan, Leila Homaeian
Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. MLDM (2005)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat
Genetic learning of fuzzy cognitive maps. Fuzzy Sets Syst. 153 (3) (2005)
Rafal Rak, Lukasz A. Kurgan, Marek Reformat
Multi-label associative classification of medical documents from MEDLINE. ICMLA (2005)
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat
Evolutionary Development of Fuzzy Cognitive Maps. FUZZ-IEEE (2005)
Jishou Ruan, Kui Wang, Jie Yang, Lukasz A. Kurgan, Krzysztof J. Cios
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences. Artif. Intell. Medicine 35 (1-2) (2005)
Lukasz A. Kurgan, Krzysztof J. Cios
CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16 (2) (2004)
Krzysztof J. Cios, Lukasz A. Kurgan
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. Inf. Sci. 163 (1-3) (2004)
Lukasz A. Kurgan
Reducing complexity of rule based models via meta mining. ICMLA (2004)
Lukasz A. Kurgan, Krzysztof J. Cios
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. ICMLA (2003)
Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios
Semantic Mapping of XML Tags Using Inductive Machine Learning. ICMLA (2002)
Lukasz A. Kurgan, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, Lucy S. Goodenday
Knowledge discovery approach to automated cardiac SPECT diagnosis. Artif. Intell. Medicine 23 (2) (2001)