Research graph
References from Deep learning in prediction of intrinsic disorder in proteins. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1080/21690707.2016.1259708 · External reference
10.1021/cr400514h
10.1021/cr400514h · External reference
10.4161/idp.24157
10.4161/idp.24157 · External reference
Unresolved reference
2019 · External reference
10.1016/j.jmb.2004.02.002
10.1016/j.jmb.2004.02.002 · External reference
10.1007/s00018-014-1661-9
10.1007/s00018-014-1661-9 · External reference
10.1080/07391102.2012.675145
10.1080/07391102.2012.675145 · External reference
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell
2020 · External reference
Compartmentalization and functionality of nuclear disorder: intrinsic disorder and protein-protein interactions in intra-nuclear compartments
10.3390/ijms17010024 · 2015 · External reference
10.1002/jmr.747
10.1002/jmr.747 · External reference
10.1007/s00018-013-1446-6
10.1007/s00018-013-1446-6 · External reference
10.1042/bst20160172
10.1042/bst20160172 · External reference
10.1039/c2mb25102g
10.1039/c2mb25102g · External reference
10.1016/j.jmb.2018.03.028
10.1016/j.jmb.2018.03.028 · External reference
10.1016/j.cell.2018.11.034
10.1016/j.cell.2018.11.034 · External reference
10.1042/bcj20160631
10.1042/bcj20160631 · External reference
Disorder drives cooperative folding in a multidomain protein
10.1073/pnas.1608762113 · 2016 · External reference
10.1038/cdd.2013.65
10.1038/cdd.2013.65 · External reference
10.1021/cr4007329
10.1021/cr4007329 · External reference
Protein disorder in the human diseasome: unfoldomics of human genetic diseases
10.1186/1471-2164-10-s1-s12 · 2009 · External reference
Intrinsic Disorder, Protein-Protein Interactions, and Disease
10.1016/bs.apcsb.2017.06.005 · 2018 · External reference
10.1021/cr400713r
10.1021/cr400713r · External reference
Untapped Potential of Disordered Proteins in Current Druggable Human Proteome
10.2174/1389450116666150722141119 · 2016 · External reference
Intrinsically Disordered Proteins as Regulators of Transient Biological Processes and as Untapped Drug Targets
10.3390/molecules26082118 · 2021 · External reference
10.1016/j.cbpa.2021.02.009
10.1016/j.cbpa.2021.02.009 · External reference
10.1517/17460441.2016.1107041
10.1517/17460441.2016.1107041 · External reference
10.1007/s00018-019-03347-3
10.1007/s00018-019-03347-3 · External reference
DisProt: intrinsic protein disorder annotation in 2020
2020 · External reference
Intrinsic disorder in the Protein Data Bank
10.1080/07391102.2007.10507123 · 2007 · External reference
IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners
10.1093/nar/gkt1010 · 2014 · External reference
DIBS: a repository of disordered binding sites mediating interactions with ordered proteins
10.1093/bioinformatics/btx640 · 2018 · External reference
MFIB: a repository of protein complexes with mutual folding induced by binding
10.1093/bioinformatics/btx486 · 2017 · External reference
Comprehensive large-scale assessment of intrinsic protein disorder
10.1093/bioinformatics/btu625 · 2015 · External reference
10.1093/nar/gkaa1100
10.1093/nar/gkaa1100 · External reference
10.1142/9789811215636_0014
10.1142/9789811215636_0014 · External reference
10.1016/j.str.2003.10.002
10.1016/j.str.2003.10.002 · External reference
Taxonomic landscape of the dark proteomes: whole-proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity
10.1002/pmic.201800243 · 2018 · External reference
Utilization of protein intrinsic disorder knowledge in structural proteomics
10.1016/j.bbapap.2012.12.003 · 2013 · External reference
An overview of practical applications of protein disorder prediction and drive for faster, more accurate predictions
10.3390/ijms160715384 · 2015 · External reference
10.1016/b978-0-12-801238-3.11320-0
10.1016/b978-0-12-801238-3.11320-0 · 2021 · External reference
Surveying over 100 predictors of intrinsic disorder in proteins
2021 · External reference
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions
10.1007/s00018-017-2555-4 · 2017 · External reference
A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction
10.1093/bib/bbx126 · 2019 · External reference
A comprehensive overview of computational protein disorder prediction methods
10.1039/c1mb05207a · 2012 · External reference
10.1038/cr.2009.87
10.1038/cr.2009.87 · External reference
10.1002/cpps.28
10.1002/cpps.28 · External reference
An overview of predictors for intrinsically disordered proteins over 2010–2014
10.3390/ijms161023446 · 2015 · External reference
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins
10.1093/bib/bbp061 · 2010 · External reference
Comparative assessment of intrinsic disorder predictions with a focus on protein and nucleic acid-binding proteins
10.3390/biom10121636 · 2020 · External reference
A comprehensive assessment of long intrinsic protein disorder from the DisProt database
10.1093/bioinformatics/btx590 · 2018 · External reference
Comprehensive comparative assessment of in-silico predictors of disordered regions
10.2174/138920312799277938 · 2012 · External reference
10.1038/s41592-021-01117-3
10.1038/s41592-021-01117-3 · External reference
Assessment of disorder predictions in CASP6
10.1002/prot.20734 · 2005 · External reference
Assessment of disorder predictions in CASP7
10.1002/prot.21671 · 2007 · External reference
Assessment of disorder predictions in CASP8
10.1002/prot.22586 · 2009 · External reference
10.1002/prot.23161
10.1002/prot.23161 · External reference
Evaluation of disorder predictions in CASP5
10.1002/prot.10533 · 2003 · External reference
Assessment of protein disorder region predictions in CASP10
10.1002/prot.24391 · 2014 · External reference
Accuracy of protein-level disorder predictions
10.1093/bib/bbz100 · 2020 · External reference
10.1093/bioinformatics/bti537
10.1093/bioinformatics/bti537 · External reference
The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins
10.1016/j.jmb.2005.01.071 · 2005 · External reference
10.1093/bioinformatics/bti541
10.1093/bioinformatics/bti541 · External reference
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
10.1093/nar/gkab408 · 2021 · External reference
10.1093/nar/gkm363
10.1093/nar/gkm363 · External reference
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources
10.1093/bioinformatics/btq373 · 2010 · External reference
DisPredict: a predictor of disordered protein using optimized RBF Kernel
10.1371/journal.pone.0141551 · 2015 · External reference
From protein sequence to dynamics and disorder with DynaMine
10.1038/ncomms3741 · 2013 · External reference
OnD-CRF: predicting order and disorder in proteins using [corrected] conditional random fields
10.1093/bioinformatics/btn132 · 2008 · External reference
10.3390/ijms19092483
10.3390/ijms19092483 · External reference
Identification of intrinsically disordered proteins and regions by length-dependent predictors based on conditional random fields
10.1016/j.omtn.2019.06.004 · 2019 · External reference
iPDA: integrated protein disorder analyzer
10.1093/nar/gkm353 · 2007 · External reference
10.1016/j.bbapap.2010.01.011
10.1016/j.bbapap.2010.01.011 · External reference
Optimizing long intrinsic disorder predictors with protein evolutionary information
10.1142/s0219720005000886 · 2005 · External reference
PreDisorder: ab initio sequence-based prediction of protein disordered regions
10.1186/1471-2105-10-436 · 2009 · External reference
10.1093/bioinformatics/btu744
10.1093/bioinformatics/btu744 · External reference
Prediction of disordered regions in proteins from position specific score matrices
10.1002/prot.10528 · 2003 · External reference
10.1080/07391102.2013.775969
10.1080/07391102.2013.775969 · External reference
MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins
10.1093/bioinformatics/btx015 · 2017 · External reference
On the complementarity of the consensus-based disorder prediction
2012 · External reference
10.1093/bioinformatics/btn195
10.1093/bioinformatics/btn195 · External reference
10.4161/idp.24428
10.4161/idp.24428 · External reference
Prediction of intrinsic disorder in proteins using MFDp2
10.1007/978-1-4939-0366-5_11 · 2014 · External reference
10.1093/nar/gkr411
10.1093/nar/gkr411 · External reference
Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor
10.1007/978-1-0716-0524-0_2 · 2020 · External reference
A community effort to bring structure to disorder
10.1038/s41592-021-01123-5 · 2021 · External reference
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
10.1038/s41467-021-24773-7 · 2021 · External reference
SPOT-Disorder 2: improved protein intrinsic disorder prediction by ensembled deep learning
10.1016/j.gpb.2019.01.004 · 2019 · External reference
10.1371/journal.pone.0220182
10.1371/journal.pone.0220182 · External reference
10.1093/bioinformatics/btw446
10.1093/bioinformatics/btw446 · External reference
10.1016/j.csbj.2019.12.011
10.1016/j.csbj.2019.12.011 · External reference
AlphaFold at CASP13
10.1093/bioinformatics/btz422 · 2019 · External reference
10.1038/s41586-021-03819-2
10.1038/s41586-021-03819-2 · External reference
Recent applications of deep learning methods on evolution- and contact-based protein structure prediction
2021 · External reference
Assessment of contact predictions in CASP12: Co-evolution and deep learning coming of age
10.1002/prot.25407 · 2018 · External reference
DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures
10.1002/prot.26007 · 2021 · External reference
Deep learning methods for protein torsion angle prediction
10.1186/s12859-017-1834-2 · 2017 · External reference
DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions
10.1002/pmic.201900019 · 2019 · External reference
10.1093/bioinformatics/btx624
10.1093/bioinformatics/btx624 · External reference
Embeddings from deep learning transfer GO annotations beyond homology
10.1038/s41598-020-80786-0 · 2021 · External reference
Artificial intelligence, machine learning, and deep learning in real-life drug design cases
10.1007/978-1-0716-1787-8_16 · 2022 · External reference
Comprehensive survey of recent drug discovery using deep learning
2021 · External reference
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
10.1093/bioinformatics/btz721 · 2020 · External reference
10.3390/ijms21186879
10.3390/ijms21186879 · External reference
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins
10.1093/bioinformatics/btaa573 · 2020 · External reference
DNdisorder: predicting protein disorder using boosting and deep networks
10.1186/1471-2105-14-88 · 2013 · External reference
On the encoding of proteins for disordered regions prediction
10.1371/journal.pone.0082252 · 2013 · External reference
DisMeta: a meta server for construct design and optimization
10.1007/978-1-62703-691-7_1 · 2014 · External reference
10.1093/nar/gku270
10.1093/nar/gku270 · External reference
10.1002/humu.22564
10.1002/humu.22564 · External reference
10.1016/j.jmb.2014.12.007
10.1016/j.jmb.2014.12.007 · External reference
DisoMCS: accurately predicting protein intrinsically disordered regions using a multi-class conservative score approach
10.1371/journal.pone.0128334 · 2015 · External reference
DeepCNF-D: predicting protein order/disorder regions by weighted deep convolutional neural fields
10.3390/ijms160817315 · 2015 · External reference
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks
10.1093/bioinformatics/btw678 · 2017 · External reference
10.1093/nar/gky384
10.1093/nar/gky384 · External reference
10.1021/acs.jcim.8b00636
10.1021/acs.jcim.8b00636 · External reference
Decision-tree based meta-strategy improved accuracy of disorder prediction and identified novel disordered residues inside binding motifs
10.3390/ijms19103052 · 2018 · External reference
10.1007/s10586-018-2857-9
10.1007/s10586-018-2857-9 · External reference
10.1038/s41598-020-71716-1
10.1038/s41598-020-71716-1 · External reference
IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learning
10.1093/bioinformatics/btaa667 · 2021 · External reference
RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins
10.1093/bib/bbaa018 · 2021 · External reference
10.1016/j.bpj.2021.08.039
10.1016/j.bpj.2021.08.039 · External reference
10.1093/nar/gkaa1058
10.1093/nar/gkaa1058 · External reference
10.1093/nar/gks1226
10.1093/nar/gks1226 · External reference
DescribePROT: database of amino acid-level protein structure and function predictions
10.1093/nar/gkaa931 · 2021 · External reference
Review and comparative assessment of sequence-based predictors of protein-binding residues
10.1093/bib/bbx022 · 2018 · External reference
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences
10.1093/bib/bbab336 · 2021 · External reference
epitope3D: a machine learning method for conformational B-cell epitope prediction
2021 · External reference
XRRpred: accurate predictor of crystal structure quality from protein sequence
10.1093/bioinformatics/btab509 · 2021 · External reference
10.1101/2020.05.25.115253
10.1101/2020.05.25.115253 · External reference
10.1093/bioinformatics/btr682
10.1093/bioinformatics/btr682 · External reference
10.1186/1471-2105-7-208
10.1186/1471-2105-7-208 · External reference
10.1093/bioinformatics/bti534
10.1093/bioinformatics/bti534 · External reference
10.1093/bioinformatics/btl504
10.1093/bioinformatics/btl504 · External reference
The Ising model for prediction of disordered residues from protein sequence alone
10.1088/1478-3975/8/3/035004 · 2011 · External reference
10.1101/249995
10.1101/249995 · External reference
Large-scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universe
10.1002/pro.3041 · 2016 · External reference
10.1371/journal.pone.0217889
10.1371/journal.pone.0217889 · External reference
10.1142/s0218339012400086
10.1142/s0218339012400086 · External reference
10.1016/j.febslet.2013.04.042
10.1016/j.febslet.2013.04.042 · External reference
There is diversity in disorder-“in all chaos there is a cosmos, in all disorder a secret order”
10.3389/fmolb.2016.00004 · 2016 · External reference
10.1016/j.bbapap.2012.12.008
10.1016/j.bbapap.2012.12.008 · External reference
High-throughput prediction of disordered moonlighting regions in protein sequences
10.1002/prot.25590 · 2018 · External reference
Intrinsic disorder associated with 14-3-3 proteins and their partners
10.1016/bs.pmbts.2019.03.007 · 2019 · External reference
10.1016/j.csbj.2019.03.013
10.1016/j.csbj.2019.03.013 · External reference
Computational prediction of functions of intrinsically disordered regions
10.1016/bs.pmbts.2019.04.006 · 2019 · External reference
FLIPPER: predicting and characterizing linear interacting peptides in the protein data bank
10.1016/j.jmb.2021.166900 · 2021 · External reference
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning
10.1093/bioinformatics/btz691 · 2020 · External reference
OPAL+: length-specific MoRF prediction in intrinsically disordered protein sequences
10.1002/pmic.201800058 · 2019 · External reference
DisoLipPred: accurate prediction of disordered lipid binding residues in protein sequences with deep recurrent networks and transfer learning
10.1093/bioinformatics/btab640 · 2021 · External reference
10.1093/bib/bbab521
10.1093/bib/bbab521 · External reference
MoRFPred_en: Sequence-based prediction of MoRFs using an ensemble learning strategy
10.1142/s0219720019400158 · 2019 · External reference
Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method
10.1142/s0219720019500045 · 2019 · External reference
DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences
10.1093/bioinformatics/btw280 · 2016 · External reference
APOD: accurate sequence-based predictor of disordered flexible linkers
2020 · External reference
