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Lukasz Kurgan

Virginia Commonwealth University

74H指数
342论文数
2.0W被引数
收录论文 83
发表时间
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RNAdetector: fast and accurate predictor of RNA type-specific binding residues in protein sequencesRNAdetector：快速且准确地预测蛋白质序列中RNA类型特异性结合残基
errNucleic Acids Research
IF13.1
err2026-04-30
err0
errOAAI
errGang Hu; Kui Wang; Ajay Arya; Lukasz Kurgan
err分享
err收藏
Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases现代内禀无序预测的资源：蛋白质语言模型、深度学习、元服务器和数据库
errCellular and Molecular Life Sciences
IF6.2
err2026-02-14
err0
errOAAI
errKui Wang; Gang Hu; Jing Yu; Lukasz Kurgan
err分享
err收藏
flDPnn3: Fast and accurate prediction of intrinsic disorder in protein sequencesflDPnn3：蛋白质序列中固有无序性的快速准确预测
errJournal of Molecular Biology
IF4.5
err2026-01-05
err0
PREAI
errKui Wang; Gang Hu; Sushmita Basu; Lukasz Kurgan
err分享
err收藏
AlphaFold in Protein Structure and Function PredictionAlphaFold在蛋白质结构及功能预测中的应用
errComputational and Structural Biotechnology Journal
IF4.1
err2025-12-01
err0
errOAAI
errLukasz Kurgan; Jianyi Yang
err分享
err收藏
Comparative assessment of binding residue predictions in intrinsically disordered regions固有无序区域中结合残留物预测的对比评估
errProtein Science
IF5.2
err2025-09-13
err0
PREAI
errSushmita Basu; Lukasz Kurgan
err分享
err收藏
Prediction of nucleic acid binding residues in protein sequences: Recent advances and future prospects蛋白质序列中核酸结合位点的预测：最新进展与未来展望
errCurrent Opinion in Structural Biology
IF7
err2025-06-21
err0
PREAI
errSushmita Basu; Yuedong Yang; Lukasz Kurgan
err分享
err收藏
Two decades of advances in sequence-based prediction of MoRFs, disorder-to-order transitioning binding regions
errEXPERT REVIEW OF PROTEOMICS
IF2.8
err2025-01-19
err0
PREAI
errSong, Jiangning; Kurgan, Lukasz
err分享
err收藏
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-12-04
err9
errOAAI
errZhang, Jian; Basu, Sushmita; Kurgan, Lukasz
err分享
err收藏
DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-11-02
err1
errOAAI
errBasu, Sushmita; Zhao, Bi; Biro, Balint; Faraggi, Eshel; Gsponer, Jorg; Hu, Gang; Kloczkowski, Andrzej; Malhis, Nawar; Mirdita, Milot; Soeding, Johannes; Steinegger, Martin; Wang, Duolin; Wang, Kui; Xu, Dong; Zhang, Jian; Kurgan, Lukasz
err分享
err收藏
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2023-10-24
err6
PREAI
errLi, Fuyi; Wang, Cong; Guo, Xudong; Akutsu, Tatsuya; Webb, Geoffrey I.; Coin, Lachlan J. M.; Kurgan, Lukasz; Song, Jiangning
err分享
err收藏
Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
errNATURE PROTOCOLS
IF16
err2023-09-22
err9
PREAI
errKurgan, Lukasz; Hu, Gang; Wang, Kui; Ghadermarzi, Sina; Zhao, Bi; Malhis, Nawar; Erdos, Gabor; Gsponer, Joerg; Uversky, Vladimir N.; Dosztanyi, Zsuzsanna
err分享
err收藏
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-05-04
err6
errOAAI
errBasu, Sushmita; Gsponer, Jorg; Kurgan, Lukasz
err分享
err收藏
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction用于HLA I类肽结合预测的工具的综合评估和比较
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2023-04-17
err8
errOAAI
errWang, Meng; Kurgan, Lukasz; Li, Min
err分享
err收藏
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-01-11
err7
errOAAI
errZhang, Fuhao; Li, Min; Zhang, Jian; Kurgan, Lukasz
err分享
err收藏
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co -evolutionary information
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2022-12-01
err6
PREAI
errPeng, Zhenling; Li, Zixia; Meng, Qiaozhen; Zhao, Bi; Kurgan, Lukasz
err分享
err收藏
Resources for computational prediction of intrinsic disorder in proteins
errMETHODS
IF4.3
err2022-08-01
err19
errOAAI
errKurgan, Lukasz
err分享
err收藏
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets
errNUCLEIC ACIDS RESEARCH
IF13.1
err2022-05-07
err33
errOAAI
errChen, Zhen; Liu, Xuhan; Zhao, Pei; Li, Chen; Wang, Yanan; Li, Fuyi; Akutsu, Tatsuya; Bain, Chris; Gasser, Robin B.; Li, Junzhou; Yang, Zuoren; Gao, Xin; Kurgan, Lukasz; Song, Jiangning
err分享
err收藏
Guest editorial: Deep neural networks for precision medicine
errNEUROCOMPUTING
IF6.5
err2022-01-01
err2
PREAI
errWu, Fang-Xiang; Li, Min; Kurgan, Lukasz; Rueda, Luis
err分享
err收藏
Surveying over 100 predictors of intrinsic disorder in proteins
errEXPERT REVIEW OF PROTEOMICS
IF2.8
err2021-12-28
err24
PREAI
errZhao, Bi; Kurgan, Lukasz
err分享
err收藏
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2021-12-15
err35
PREAI
errZhang, Fuhao; Zhao, Bi; Shi, Wenbo; Li, Min; Kurgan, Lukasz
err分享
err收藏

研究方向

暂无研究方向
合作学者
合作期刊
R
Randal J. Kaufman
H 指数: 158 · 论文数: 639
V
Vladimir N. Uversky
H 指数: 155 · 论文数: 2.5K
W
Witold Pedrycz
H 指数: 130 · 论文数: 3.1K
Y
Yaochu Jin
H 指数: 116 · 论文数: 1.0K
张建 封面图
张建 (Jian Zhang)
H 指数: 98 · 论文数: 2.2K
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