scholarly article | Q13442814 |
P819 | ADS bibcode | 2015PLoSO..1041603M |
P356 | DOI | 10.1371/JOURNAL.PONE.0141603 |
P932 | PMC publication ID | 4627796 |
P698 | PubMed publication ID | 26517836 |
P5875 | ResearchGate publication ID | 283345876 |
P50 | author | Nawar Malhis | Q86630992 |
P2093 | author name string | Jörg Gsponer | |
Eric T C Wong | |||
Roy Nassar | |||
P2860 | cites work | Prediction of protein binding regions in disordered proteins | Q21145360 |
Classification of intrinsically disordered regions and proteins | Q22061736 | ||
The Protein Data Bank | Q24515306 | ||
Crystal structure of human 53BP1 BRCT domains bound to p53 tumour suppressor | Q24534204 | ||
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
SPINE-D: accurate prediction of short and long disordered regions by a single neural-network based method | Q24620741 | ||
Rsp5/Nedd4 is the main ubiquitin ligase that targets cytosolic misfolded proteins following heat stress | Q27937702 | ||
Overcome support vector machine diagnosis overfitting | Q28082900 | ||
Analysis of molecular recognition features (MoRFs) | Q28260253 | ||
IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content | Q29615888 | ||
Understanding protein non-folding. | Q30385084 | ||
The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins. | Q52974739 | ||
Molecular Principles of the Interactions of Disordered Proteins | Q57080291 | ||
DISOPRED3: precise disordered region predictions with annotated protein-binding activity | Q30633989 | ||
On the importance of polar interactions for complexes containing intrinsically disordered proteins | Q31129225 | ||
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins | Q34280717 | ||
Computational identification of MoRFs in protein sequences | Q34460669 | ||
The DISOPRED server for the prediction of protein disorder | Q34546645 | ||
Getting the most from PSI-BLAST. | Q34563343 | ||
Mining alpha-helix-forming molecular recognition features with cross species sequence alignments | Q34708119 | ||
MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation | Q35008000 | ||
Intrinsically disordered proteins in cellular signalling and regulation. | Q35510300 | ||
Characterization of molecular recognition features, MoRFs, and their binding partners | Q36944291 | ||
Intrinsically disordered proteins: regulation and disease | Q37868137 | ||
Linear motifs: lost in (pre)translation | Q38019262 | ||
Promiscuity as a functional trait: intrinsically disordered regions as central players of interactomes | Q38132466 | ||
Intrinsically disordered proteins and intrinsically disordered protein regions | Q38194194 | ||
Tissue-specific splicing of disordered segments that embed binding motifs rewires protein interaction networks | Q41884066 | ||
ESpritz: accurate and fast prediction of protein disorder | Q44385437 | ||
Structure and intrinsic disorder in protein autoinhibition. | Q45251643 | ||
Coupled folding and binding with alpha-helix-forming molecular recognition elements | Q48122045 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 10 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | computational biology | Q177005 |
P304 | page(s) | e0141603 | |
P577 | publication date | 2015-10-30 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule | |
P478 | volume | 10 |
Q55518742 | IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding. |
Q63044066 | Improved measures for evolutionary conservation that exploit taxonomy distances |
Q34526381 | MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences |
Q92946510 | Portrait of the Intrinsically Disordered Side of the HTLV-1 Proteome |
Q36268811 | Predicting MoRFs in protein sequences using HMM profiles. |
Q97878176 | Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronaviruses |
Search more.