Intrinsically disordered proteins play diverse roles in cell signaling
Signaling pathways allow cells to detect and respond to a wide variety of chemical (eg Ca2+
or chemokine proteins) and physical stimuli (eg, sheer stress, light). Together, these …
or chemokine proteins) and physical stimuli (eg, sheer stress, light). Together, these …
Biological soft matter: intrinsically disordered proteins in liquid–liquid phase separation and biomolecular condensates
AV Fonin, IA Antifeeva, IM Kuznetsova… - Essays in …, 2022 - portlandpress.com
The facts that many proteins with crucial biological functions do not have unique structures
and that many biological processes are compartmentalized into the liquid-like biomolecular …
and that many biological processes are compartmentalized into the liquid-like biomolecular …
IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learning
YJ Tang, YH Pang, B Liu - Bioinformatics, 2020 - academic.oup.com
Motivation Related to many important biological functions, intrinsically disordered regions
(IDRs) are widely distributed in proteins. Accurate prediction of IDRs is critical for the protein …
(IDRs) are widely distributed in proteins. Accurate prediction of IDRs is critical for the protein …
DeepDISOBind: accurate prediction of RNA-, DNA-and protein-binding intrinsically disordered residues with deep multi-task learning
Proteins with intrinsically disordered regions (IDRs) are common among eukaryotes. Many
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
Brain wave classification using long short-term memory network based OPTICAL predictor
Brain-computer interface (BCI) systems having the ability to classify brain waves with greater
accuracy are highly desirable. To this end, a number of techniques have been proposed …
accuracy are highly desirable. To this end, a number of techniques have been proposed …
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning
Motivation Intrinsically disordered protein regions interact with proteins, nucleic acids and
lipids. Regions that bind lipids are implicated in a wide spectrum of cellular functions and …
lipids. Regions that bind lipids are implicated in a wide spectrum of cellular functions and …
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 …
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning
Motivation Protein intrinsic disorder describes the tendency of sequence residues to not fold
into a rigid three-dimensional shape by themselves. However, some of these disordered …
into a rigid three-dimensional shape by themselves. However, some of these disordered …
[HTML][HTML] Computational prediction of MoRFs, short disorder-to-order transitioning protein binding regions
Molecular recognition features (MoRFs) are short protein-binding regions that undergo
disorder-to-order transitions (induced folding) upon binding protein partners. These regions …
disorder-to-order transitions (induced folding) upon binding protein partners. These regions …
Computational prediction of disordered binding regions
One of the key features of intrinsically disordered regions (IDRs) is their ability to interact
with a broad range of partner molecules. Multiple types of interacting IDRs were identified …
with a broad range of partner molecules. Multiple types of interacting IDRs were identified …