432 related articles for article (PubMed ID: 31141211)
1. Coupling dynamics and evolutionary information with structure to identify protein regulatory and functional binding sites.
Mishra SK; Kandoi G; Jernigan RL
Proteins; 2019 Oct; 87(10):850-868. PubMed ID: 31141211
[TBL] [Abstract][Full Text] [Related]
2. Impact of mutations on the allosteric conformational equilibrium.
Weinkam P; Chen YC; Pons J; Sali A
J Mol Biol; 2013 Feb; 425(3):647-61. PubMed ID: 23228330
[TBL] [Abstract][Full Text] [Related]
3. Structure-based predictive models for allosteric hot spots.
Demerdash ON; Daily MD; Mitchell JC
PLoS Comput Biol; 2009 Oct; 5(10):e1000531. PubMed ID: 19816556
[TBL] [Abstract][Full Text] [Related]
4. Evolutionary couplings and sequence variation effect predict protein binding sites.
Schelling M; Hopf TA; Rost B
Proteins; 2018 Oct; 86(10):1064-1074. PubMed ID: 30020551
[TBL] [Abstract][Full Text] [Related]
5. A Random Forest Model for Predicting Allosteric and Functional Sites on Proteins.
Chen AS; Westwood NJ; Brear P; Rogers GW; Mavridis L; Mitchell JB
Mol Inform; 2016 Apr; 35(3-4):125-35. PubMed ID: 27491922
[TBL] [Abstract][Full Text] [Related]
6. Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.
Barenboim M; Masso M; Vaisman II; Jamison DC
Proteins; 2008 Jun; 71(4):1930-9. PubMed ID: 18186470
[TBL] [Abstract][Full Text] [Related]
7. Reversing allosteric communication: From detecting allosteric sites to inducing and tuning targeted allosteric response.
Tee WV; Guarnera E; Berezovsky IN
PLoS Comput Biol; 2018 Jun; 14(6):e1006228. PubMed ID: 29912863
[TBL] [Abstract][Full Text] [Related]
8. Machine learning approaches in predicting allosteric sites.
NerĂn-Fonz F; Cournia Z
Curr Opin Struct Biol; 2024 Apr; 85():102774. PubMed ID: 38354652
[TBL] [Abstract][Full Text] [Related]
9. Computation of conformational coupling in allosteric proteins.
Kidd BA; Baker D; Thomas WE
PLoS Comput Biol; 2009 Aug; 5(8):e1000484. PubMed ID: 19714199
[TBL] [Abstract][Full Text] [Related]
10. Allosteric Methods and Their Applications: Facilitating the Discovery of Allosteric Drugs and the Investigation of Allosteric Mechanisms.
Lu S; Shen Q; Zhang J
Acc Chem Res; 2019 Feb; 52(2):492-500. PubMed ID: 30688063
[TBL] [Abstract][Full Text] [Related]
11. Prediction of carbohydrate binding sites on protein surfaces with 3-dimensional probability density distributions of interacting atoms.
Tsai KC; Jian JW; Yang EW; Hsu PC; Peng HP; Chen CT; Chen JB; Chang JY; Hsu WL; Yang AS
PLoS One; 2012; 7(7):e40846. PubMed ID: 22848404
[TBL] [Abstract][Full Text] [Related]
12. Probing Protein Allostery as a Residue-Specific Concept via Residue Response Maps.
Hayatshahi HS; Ahuactzin E; Tao P; Wang S; Liu J
J Chem Inf Model; 2019 Nov; 59(11):4691-4705. PubMed ID: 31589429
[TBL] [Abstract][Full Text] [Related]
13. Boosting phosphorylation site prediction with sequence feature-based machine learning.
Maiti S; Hassan A; Mitra P
Proteins; 2020 Feb; 88(2):284-291. PubMed ID: 31412138
[TBL] [Abstract][Full Text] [Related]
14. PRINTR: prediction of RNA binding sites in proteins using SVM and profiles.
Wang Y; Xue Z; Shen G; Xu J
Amino Acids; 2008 Aug; 35(2):295-302. PubMed ID: 18235992
[TBL] [Abstract][Full Text] [Related]
15. Prediction of FMN-binding residues with three-dimensional probability distributions of interacting atoms on protein surfaces.
Mahalingam R; Peng HP; Yang AS
J Theor Biol; 2014 Feb; 343():154-61. PubMed ID: 24211525
[TBL] [Abstract][Full Text] [Related]
16. Exploiting protein flexibility to predict the location of allosteric sites.
Panjkovich A; Daura X
BMC Bioinformatics; 2012 Oct; 13():273. PubMed ID: 23095452
[TBL] [Abstract][Full Text] [Related]
17. Structure-based prediction of protein- peptide binding regions using Random Forest.
Taherzadeh G; Zhou Y; Liew AW; Yang Y
Bioinformatics; 2018 Feb; 34(3):477-484. PubMed ID: 29028926
[TBL] [Abstract][Full Text] [Related]
18. Motions of Allosteric and Orthosteric Ligand-Binding Sites in Proteins are Highly Correlated.
Ma X; Meng H; Lai L
J Chem Inf Model; 2016 Sep; 56(9):1725-33. PubMed ID: 27580047
[TBL] [Abstract][Full Text] [Related]
19. Prediction of protein binding sites in protein structures using hidden Markov support vector machine.
Liu B; Wang X; Lin L; Tang B; Dong Q; Wang X
BMC Bioinformatics; 2009 Nov; 10():381. PubMed ID: 19925685
[TBL] [Abstract][Full Text] [Related]
20. Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature.
Ma X; Guo J; Wu J; Liu H; Yu J; Xie J; Sun X
Proteins; 2011 Apr; 79(4):1230-9. PubMed ID: 21268114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]