Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
Intrinsic disorder is instrumental for a wide range of protein functions, and its analysis, using
computational predictions from primary structures, complements secondary and tertiary …
computational predictions from primary structures, complements secondary and tertiary …
Prediction of protein disorder based on IUPred
Z Dosztányi - Protein Science, 2018 - Wiley Online Library
Many proteins contain intrinsically disordered regions (IDRs), functional polypeptide
segments that in isolation adopt a highly flexible conformational ensemble instead of a …
segments that in isolation adopt a highly flexible conformational ensemble instead of a …
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
G Hu, A Katuwawala, K Wang, Z Wu… - Nature …, 2021 - nature.com
Identification of intrinsic disorder in proteins relies in large part on computational predictors,
which demands that their accuracy should be high. Since intrinsic disorder carries out a …
which demands that their accuracy should be high. Since intrinsic disorder carries out a …
IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding
The structural states of proteins include ordered globular domains as well as intrinsically
disordered protein regions that exist as highly flexible conformational ensembles in …
disordered protein regions that exist as highly flexible conformational ensembles in …
DisProt: intrinsic protein disorder annotation in 2020
Abstract The Database of Protein Disorder (DisProt, URL: https://disprot. org) provides
manually curated annotations of intrinsically disordered proteins from the literature. Here we …
manually curated annotations of intrinsically disordered proteins from the literature. Here we …
MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins
The MobiDB (URL: mobidb. bio. unipd. it) database of protein disorder and mobility
annotations has been significantly updated and upgraded since its last major renewal in …
annotations has been significantly updated and upgraded since its last major renewal in …
SPOT-Disorder2: improved protein intrinsic disorder prediction by ensembled deep learning
Intrinsically disordered or unstructured proteins (or regions in proteins) have been found to
be important in a wide range of biological functions and implicated in many diseases. Due to …
be important in a wide range of biological functions and implicated in many diseases. Due to …
Deep learning in prediction of intrinsic disorder in proteins
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 …
identify and investigate a recent trend towards the development of deep neural network …
Surveying over 100 predictors of intrinsic disorder in proteins
Introduction Intrinsic disorder prediction field develops, assesses, and deploys
computational predictors of disorder in protein sequences and constructs and disseminates …
computational predictors of disorder in protein sequences and constructs and disseminates …
[HTML][HTML] Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
G Erdős, Z Dosztányi - Current Opinion in Structural Biology, 2024 - Elsevier
Highlights•Intrinsically disordered proteins (IDPs) defy traditional structure-based prediction
methods, pushing for novel approaches in protein research.•Recent advances in deep …
methods, pushing for novel approaches in protein research.•Recent advances in deep …