MobiDB: 10 years of intrinsically disordered proteins

D Piovesan, A Del Conte, D Clementel… - Nucleic acids …, 2023 - academic.oup.com
The MobiDB database (URL: https://mobidb. org/) is a knowledge base of intrinsically
disordered proteins. MobiDB aggregates disorder annotations derived from the literature …

Deep learning in prediction of intrinsic disorder in proteins

B Zhao, L Kurgan - Computational and Structural Biotechnology Journal, 2022 - Elsevier
Intrinsic disorder prediction is an active area that has developed over 100 predictors. We
identify and investigate a recent trend towards the development of deep neural network …

Surveying over 100 predictors of intrinsic disorder in proteins

B Zhao, L Kurgan - Expert Review of Proteomics, 2021 - Taylor & Francis
Introduction Intrinsic disorder prediction field develops, assesses, and deploys
computational predictors of disorder in protein sequences and constructs and disseminates …

MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins

D Piovesan, A Del Conte, M Mehdiabadi… - Nucleic Acids …, 2025 - academic.oup.com
The MobiDB database (URL: https://mobidb. org/) aims to provide structural and functional
information about intrinsic protein disorder, aggregating annotations from the literature …

CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information

Z Peng, Z Li, Q Meng, B Zhao… - Briefings in …, 2023 - academic.oup.com
One of key features of intrinsically disordered regions (IDRs) is facilitation of protein–protein
and protein–nucleic acids interactions. These disordered binding regions include molecular …

Machine learning for intrinsic disorder prediction

B Zhao, L Kurgan - Machine Learning in Bioinformatics of Protein …, 2023 - World Scientific
Intrinsic disorder in proteins is manifested by regions that lack stable structure under
physiological conditions. Proteins with disordered regions are common across all kingdoms …

Overview update: computational prediction of intrinsic disorder in proteins

VN Uversky, L Kurgan - Current Protocols, 2023 - Wiley Online Library
There are over 100 computational predictors of intrinsic disorder. These methods predict
amino acid‐level propensities for disorder directly from protein sequences. The propensities …

[HTML][HTML] Evaluation of predictions of disordered binding regions in the CAID2 experiment

F Zhang, L Kurgan - Computational and Structural Biotechnology Journal, 2024 - Elsevier
A large portion of the Intrinsically Disordered Regions (IDRs) in protein sequences interact
with proteins, nucleic acids, and other types of ligands. Correspondingly, dozens of …

[PDF][PDF] Databases for intrinsically disordered proteins

D Piovesan, AM Monzon, F Quaglia… - … Section D: Structural …, 2022 - journals.iucr.org
Intrinsically disordered regions (IDRs) lacking a fixed three-dimensional protein structure are
widespread and play a central role in cell regulation. Only a small fraction of IDRs have …

Probabilistic Annotations of Protein Sequences for Intrinsically Disordered Features

N Malhis - bioRxiv, 2024 - biorxiv.org
This paper introduces a novel platform for IDR Probabilistic Annotation (IPA). The IPA
platform now encompasses tools for predicting 'Linker'regions and 'nucleic','protein', and …