246 related articles for article (PubMed ID: 31504193)
1. Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
Hanson J; Litfin T; Paliwal K; Zhou Y
Bioinformatics; 2020 Feb; 36(4):1107-1113. PubMed ID: 31504193
[TBL] [Abstract][Full Text] [Related]
2. SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.
Hanson J; Paliwal KK; Litfin T; Zhou Y
Genomics Proteomics Bioinformatics; 2019 Dec; 17(6):645-656. PubMed ID: 32173600
[TBL] [Abstract][Full Text] [Related]
3. OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.
Sharma R; Raicar G; Tsunoda T; Patil A; Sharma A
Bioinformatics; 2018 Jun; 34(11):1850-1858. PubMed ID: 29360926
[TBL] [Abstract][Full Text] [Related]
4. MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles.
Sharma R; Bayarjargal M; Tsunoda T; Patil A; Sharma A
J Theor Biol; 2018 Jan; 437():9-16. PubMed ID: 29042212
[TBL] [Abstract][Full Text] [Related]
5. MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins.
Disfani FM; Hsu WL; Mizianty MJ; Oldfield CJ; Xue B; Dunker AK; Uversky VN; Kurgan L
Bioinformatics; 2012 Jun; 28(12):i75-83. PubMed ID: 22689782
[TBL] [Abstract][Full Text] [Related]
6. Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.
Hanson J; Yang Y; Paliwal K; Zhou Y
Bioinformatics; 2017 Mar; 33(5):685-692. PubMed ID: 28011771
[TBL] [Abstract][Full Text] [Related]
7. Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method.
Fang C; Moriwaki Y; Tian A; Li C; Shimizu K
J Bioinform Comput Biol; 2019 Feb; 17(1):1950004. PubMed ID: 30866736
[TBL] [Abstract][Full Text] [Related]
8. MoRFPred_en: Sequence-based prediction of MoRFs using an ensemble learning strategy.
Fang C; Moriwaki Y; Li C; Shimizu K
J Bioinform Comput Biol; 2019 Dec; 17(6):1940015. PubMed ID: 32019410
[TBL] [Abstract][Full Text] [Related]
9. Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule.
Malhis N; Wong ET; Nassar R; Gsponer J
PLoS One; 2015; 10(10):e0141603. PubMed ID: 26517836
[TBL] [Abstract][Full Text] [Related]
10. Computational identification of MoRFs in protein sequences.
Malhis N; Gsponer J
Bioinformatics; 2015 Jun; 31(11):1738-44. PubMed ID: 25637562
[TBL] [Abstract][Full Text] [Related]
11. MoRF_ESM: Prediction of MoRFs in disordered proteins based on a deep transformer protein language model.
Fang C; He J; Yamana H
J Bioinform Comput Biol; 2024 Apr; 22(2):2450006. PubMed ID: 38812466
[TBL] [Abstract][Full Text] [Related]
12. Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions.
Sharma R; Sharma A; Patil A; Tsunoda T
BMC Bioinformatics; 2019 Feb; 19(Suppl 13):378. PubMed ID: 30717652
[TBL] [Abstract][Full Text] [Related]
13. OPAL+: Length-Specific MoRF Prediction in Intrinsically Disordered Protein Sequences.
Sharma R; Sharma A; Raicar G; Tsunoda T; Patil A
Proteomics; 2019 Mar; 19(6):e1800058. PubMed ID: 30324701
[TBL] [Abstract][Full Text] [Related]
14. Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures.
Hanson J; Paliwal K; Zhou Y
J Chem Inf Model; 2018 Nov; 58(11):2369-2376. PubMed ID: 30395465
[TBL] [Abstract][Full Text] [Related]
15. MoRF-FUNCpred: Molecular Recognition Feature Function Prediction Based on Multi-Label Learning and Ensemble Learning.
Li H; Pang Y; Liu B; Yu L
Front Pharmacol; 2022; 13():856417. PubMed ID: 35350759
[TBL] [Abstract][Full Text] [Related]
16. Predicting MoRFs in protein sequences using HMM profiles.
Sharma R; Kumar S; Tsunoda T; Patil A; Sharma A
BMC Bioinformatics; 2016 Dec; 17(Suppl 19):504. PubMed ID: 28155710
[TBL] [Abstract][Full Text] [Related]
17. Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions.
Katuwawala A; Peng Z; Yang J; Kurgan L
Comput Struct Biotechnol J; 2019; 17():454-462. PubMed ID: 31007871
[TBL] [Abstract][Full Text] [Related]
18. Retro-MoRFs: identifying protein binding sites by normal and reverse alignment and intrinsic disorder prediction.
Xue B; Dunker AK; Uversky VN
Int J Mol Sci; 2010 Sep; 11(10):3725-47. PubMed ID: 21152297
[TBL] [Abstract][Full Text] [Related]
19. Protein embeddings predict binding residues in disordered regions.
Jahn LR; Marquet C; Heinzinger M; Rost B
Sci Rep; 2024 Jun; 14(1):13566. PubMed ID: 38866950
[TBL] [Abstract][Full Text] [Related]
20. Predicting Functions of Disordered Proteins with MoRFpred.
Oldfield CJ; Uversky VN; Kurgan L
Methods Mol Biol; 2019; 1851():337-352. PubMed ID: 30298407
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]