Structure-Related Statistical Singularities along Protein Sequences: A Correlation Study. - Mauro Colafranceschi; Alfredo Colosimo; Joseph P. Zbilut; Vladimir N. Uversky; Alessandro Giuliani (J. Chem. Inf. Model., 2005)

Intrinsic Disorder Is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes. - Chad Haynes; Christopher J. Oldfield; Fei Ji; Niels Klitgord; Michael E. Cusick; Predrag Radivojac; Vladimir N. Uversky; Marc Vidal; Lilia M. Iakoucheva (PLoS Comput. Biol., 2006)

Intrinsically Disordered Proteins: Predictions and Applications. - A. Keith Dunker; Christopher J. Oldfield; Jingwei Meng; Pedro Romero; Jack Y. Yang; Zoran Obradovic; Vladimir N. Uversky (BIBE, 2007)

Intrinsically Disordered Proteins: An Update. - A. Keith Dunker; Christopher J. Oldfield; Jingwei Meng; Pedro Romero; Jack Y. Yang; Zoran Obradovic; Vladimir N. Uversky (BIBE, 2007)

Intrinsically Disordered Proteins in Human Diseases. - Vladimir N. Uversky; Christopher J. Oldfield; A. Keith Dunker (BIBE, 2007)

Intrinsic Disorder in Protein-Protein Interaction Networks: Case Studies of Complexes Involving p53 and 14-3-3. - Christopher J. Oldfield; Jingwei Meng; Jack Y. Yang; Vladimir N. Uversky; A. Keith Dunker (BIOCOMP, 2007)

Composition Profiler: a tool for discovery and visualization of amino acid composition differences. - Vladimir Vacic; Vladimir N. Uversky; A. Keith Dunker; Stefano Lonardi (BMC Bioinform., 2007)

DisProt: the Database of Disordered Proteins. - Megan Sickmeier; Justin A. Hamilton; Tanguy LeGall; Vladimir Vacic; Marc S. Cortese; Ágnes Tantos; Beáta Szabó; Peter Tompa; Jake Yue Chen; Vladimir N. Uversky; Zoran Obradovic; A. Keith Dunker (Nucleic Acids Res., 2007)

Malleable Machines in Transcription Regulation: The Mediator Complex. - Ágnes Tóth-Petróczy; Christopher J. Oldfield; István Simon; Yuichiro Takagi; A. Keith Dunker; Vladimir N. Uversky; Mónika Fuxreiter (PLoS Comput. Biol., 2008)

Influence of Sequence Changes and Environment on Intrinsically Disordered Proteins. - Amrita Mohan; Vladimir N. Uversky; Predrag Radivojac (PLoS Comput. Biol., 2009)

Archaic chaos: intrinsically disordered proteins in Archaea. - Bin Xue; Robert W. Williams; Christopher J. Oldfield; A. Keith Dunker; Vladimir N. Uversky (BMC Syst. Biol., 2010)

In-silico prediction of disorder content using hybrid sequence representation. - Marcin J. Mizianty; Tuo Zhang; Bin Xue; Yaoqi Zhou; A. Keith Dunker; Vladimir N. Uversky; Lukasz A. Kurgan (BMC Bioinform., 2011)

Intrinsic Protein Disorder and Protein-Protein Interactions. - Wei-Lun Hsu; Christopher J. Oldfield; Jingwei Meng; Fei Huang; Bin Xue; Vladimir N. Uversky; Pedro Romero; A. Keith Dunker (Pacific Symposium on Biocomputing, 2012)

Subclassifying Disordered Proteins by the CH-CDF Plot Method. - Fei Huang; Christopher J. Oldfield; Jingwei Meng; Wei-Lun Hsu; Bin Xue; Vladimir N. Uversky; Pedro Romero; A. Keith Dunker (Pacific Symposium on Biocomputing, 2012)

MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins. - Fatemeh Miri Disfani; Wei-Lun Hsu; Marcin J. Mizianty; Christopher J. Oldfield; Bin Xue; A. Keith Dunker; Vladimir N. Uversky; Lukasz A. Kurgan (Bioinform., 2012)

Disease-Associated Mutations Disrupt Functionally Important Regions of Intrinsic Protein Disorder. - Vladimir Vacic; Phineus R. L. Markwick; Christopher J. Oldfield; Xiaoyue Zhao; Chad Haynes; Vladimir N. Uversky; Lilia M. Iakoucheva (PLoS Comput. Biol., 2012)

D2P2: database of disordered protein predictions. - Matt E. Oates; Pedro Romero; Takashi Ishida 002; Mohamed F. Ghalwash; Marcin J. Mizianty; Bin Xue; Zsuzsanna Dosztányi; Vladimir N. Uversky; Zoran Obradovic; Lukasz A. Kurgan; A. Keith Dunker; Julian Gough (Nucleic Acids Res., 2013)

Improving protein order-disorder classification using charge-hydropathy plots. - Fei Huang; Christopher J. Oldfield; Bin Xue; Wei-Lun Hsu; Jingwei Meng; Xiaowen Liu; Li Shen 001; Pedro Romero; Vladimir N. Uversky; A. Keith Dunker (BMC Bioinform., 2014)

pE-DB: a database of structural ensembles of intrinsically disordered and of unfolded proteins. - Mihaly Varadi; Simone Kosol; Pierre Lebrun; Erica Valentini; Martin Blackledge; A. Keith Dunker; Isabella C. Felli; Julie D. Forman-Kay; Richard W. Kriwacki; Roberta Pierattelli; Joel L. Sussman; Dmitri I. Svergun; et al. (Nucleic Acids Res., 2014)

Erratum to: Improving protein order-disorder classification using charge-hydropathy plots. - Fei Huang; Christopher J. Oldfield; Bin Xue; Wei-Lun Hsu; Jingwei Meng; Xiaowen Liu; Li Shen 001; Pedro Romero; Vladimir N. Uversky; A. Keith Dunker (BMC Bioinform., 2015)

DisProt 7.0: a major update of the database of disordered proteins. - Damiano Piovesan; Francesco Tabaro; Ivan Micetic; Marco Necci; Federica Quaglia; Christopher J. Oldfield; Maria Cristina Aspromonte; Norman E. Davey; Radoslav Davidovic; Zsuzsanna Dosztányi; Arne Elofsson; Alessandra Gasparini; et al. (Nucleic Acids Res., 2017)

Tyrosine Regulates β-Sheet Structure Formation in Amyloid-β42: A New Clustering Algorithm for Disordered Proteins. - Orkid Coskuner; Vladimir N. Uversky (J. Chem. Inf. Model., 2017)

Alanine Scanning Effects on the Biochemical and Biophysical Properties of Intrinsically Disordered Proteins: A Case Study of the Histidine to Alanine Mutations in Amyloid-β42. - Orkid Coskuner-Weber; Vladimir N. Uversky (J. Chem. Inf. Model., 2019)

Many-to-One Binding by Intrinsically Disordered Protein Regions. - Wei-Lun Alterovitz; Eshel Faraggi; Christopher J. Oldfield; Jingwei Meng; Bin Xue; Fei Huang; Pedro Romero; Andrzej Kloczkowski; Vladimir N. Uversky; A. Keith Dunker (PSB, 2020)

DeepAdd: Protein function prediction from k-mer embedding and additional features. - Zhihua Du; Yufeng He; Jianqiang Li 001; Vladimir N. Uversky (Comput. Biol. Chem., 2020)

Feasibility of the vaccine development for SARS-CoV-2 and other viruses using the shell disorder analysis. - Gerard Kian-Meng Goh; A. Keith Dunker; James A. Foster; Vladimir N. Uversky (PSB, 2021)

Understanding structural malleability of the SARS-CoV-2 proteins and relation to the comorbidities. - Sagnik Sen 002; Ashmita Dey; Sanghamitra Bandhyopadhyay; Vladimir N. Uversky; Ujjwal Maulik (Briefings Bioinform., 2021)

Insights into the evolutionary forces that shape the codon usage in the viral genome segments encoding intrinsically disordered protein regions. - Naveen Kumar; Rahul Kaushik; Chandana Tennakoon; Vladimir N. Uversky; Sonia Longhi; Kam Y. J. Zhang; Sandeep Bhatia (Briefings Bioinform., 2021)

A unique view of SARS-CoV-2 through the lens of ORF8 protein. - Sarif Sk. Hassan; Alaa A. A. Aljabali; Pritam Kumar Panda; Shinjini Ghosh; Diksha Attrish; Pabitra Pal Choudhury; Murat Seyran; Damiano Pizzol; Parise Adadi; Tarek Mohamed Abd El-Aziz; Antonio Soares; Ramesh Kandimalla; et al. (Comput. Biol. Medicine, 2021)

Inference of gene regulatory networks based on the Light Gradient Boosting Machine. - Zhihua Du; Xing Zhong; Fangzhong Wang; Vladimir N. Uversky (Comput. Biol. Chem., 2022)

Insights into the structural peculiarities of the N-terminal and receptor binding domains of the spike protein from the SARS-CoV-2 Omicron variant. - Fatemeh Bayani; Negin Safaei Hashkavaei; Vladimir N. Uversky; Sina Mozaffari-Jovin; Yahya Sefidbakht (Comput. Biol. Medicine, 2022)

DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins. - Min Fang; Yufeng He; Zhihua Du; Vladimir N. Uversky (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

TFBSnet: A deep learning-based tool for predicting transcription factor binding site from DNA sequences. - Zhihua Du; Tianyou Huang; Jian-Qiang Li 001; Vladimir N. Uversky (BIBM, 2023)

Predicting TF Proteins by Incorporating Evolution Information Through PSSM. - Zhihua Du; Tianyou Huang; Vladimir N. Uversky; Jianqiang Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Key genes and pathways in the molecular landscape of pancreatic ductal adenocarcinoma: A bioinformatics and machine learning study. - Sinan Eyuboglu; Semih Alpsoy; Vladimir N. Uversky; Orkid Coskuner-Weber (Comput. Biol. Chem., 2024)

SARS-CoV-2 NSP14 governs mutational instability and assists in making new SARS-CoV-2 variants. - Sk. Sarif Hassan; Tanishta Bhattacharya; Debaleena Nawn; Ishana Jha; Pallab Basu; Elrashdy M. Redwan; Kenneth Lundstrom; Debmalya Barh; Bruno Silva Andrade; Murtaza M. Tambuwala; Alaa A. A. Aljabali; Altijana Hromic-Jahjefendic; et al. (Comput. Biol. Medicine, 2024)

Unravelling intrinsically disordered and compositionally biased proteins in the cereal proteomes. - Mouna Choura; Vladimir N. Uversky (Biosyst., 2025)

Intrinsic disorder in protein interaction networks linking cancer with metabolic diseases. - Veda Naga Priya Vangala; Vladimir N. Uversky (Comput. Biol. Chem., 2025)

Effects of pathological mutations on the CHCHD2 monomer structure: A study by AlphaFold3 linked to the generation of conformational ensembles. - Zeyneb Azra Özmen; Fatma Nilsu Çayli; Vladimir N. Uversky; Junga Alexa Woo; David E. Kang; Orkid Coskuner-Weber (Comput. Biol. Medicine, 2025)

Intrinsic disorder angle of the HCV co-infection and super-infection with other hepatitis viruses. - Elrashdy M. Redwan; Abdullah A. Aljadawi; Vladimir N. Uversky (Comput. Biol. Medicine, 2025)