137 related articles for article (PubMed ID: 35662456)
1. PCA-MutPred: Prediction of Binding Free Energy Change Upon Missense Mutation in Protein-carbohydrate Complexes.
Siva Shanmugam NR; Veluraja K; Michael Gromiha M
J Mol Biol; 2022 Jun; 434(11):167526. PubMed ID: 35662456
[TBL] [Abstract][Full Text] [Related]
2. Prediction of protein-carbohydrate complex binding affinity using structural features.
Siva Shanmugam NR; Jino Blessy J; Veluraja K; Gromiha MM
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313775
[TBL] [Abstract][Full Text] [Related]
3. PDA-Pred: Predicting the binding affinity of protein-DNA complexes using machine learning techniques and structural features.
Harini K; Kihara D; Michael Gromiha M
Methods; 2023 May; 213():10-17. PubMed ID: 36924867
[TBL] [Abstract][Full Text] [Related]
4. ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification.
Jemimah S; Sekijima M; Gromiha MM
Bioinformatics; 2020 Mar; 36(6):1725-1730. PubMed ID: 31713585
[TBL] [Abstract][Full Text] [Related]
5. DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutation.
Nikam R; Jemimah S; Gromiha MM
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38718170
[TBL] [Abstract][Full Text] [Related]
6. PRA-Pred: Structure-based prediction of protein-RNA binding affinity.
Harini K; Sekijima M; Gromiha MM
Int J Biol Macromol; 2024 Feb; 259(Pt 2):129490. PubMed ID: 38224813
[TBL] [Abstract][Full Text] [Related]
7. ProNAB: database for binding affinities of protein-nucleic acid complexes and their mutants.
Harini K; Srivastava A; Kulandaisamy A; Gromiha MM
Nucleic Acids Res; 2022 Jan; 50(D1):D1528-D1534. PubMed ID: 34606614
[TBL] [Abstract][Full Text] [Related]
8. MPA-Pred: A machine learning approach for predicting the binding affinity of membrane protein-protein complexes.
Ridha F; Gromiha MM
Proteins; 2024 Apr; 92(4):499-508. PubMed ID: 37949651
[TBL] [Abstract][Full Text] [Related]
9. Deep learning-based method for predicting and classifying the binding affinity of protein-protein complexes.
Nikam R; Yugandhar K; Gromiha MM
Biochim Biophys Acta Proteins Proteom; 2023 Nov; 1871(6):140948. PubMed ID: 37567456
[TBL] [Abstract][Full Text] [Related]
10. Identification and Analysis of Key Residues Involved in Folding and Binding of Protein-carbohydrate Complexes.
Shanmugam NRS; Selvin JFA; Veluraja K; Gromiha MM
Protein Pept Lett; 2018; 25(4):379-389. PubMed ID: 29473490
[TBL] [Abstract][Full Text] [Related]
11. Stacking interactions between carbohydrate and protein quantified by combination of theoretical and experimental methods.
Wimmerová M; Kozmon S; Nečasová I; Mishra SK; Komárek J; Koča J
PLoS One; 2012; 7(10):e46032. PubMed ID: 23056230
[TBL] [Abstract][Full Text] [Related]
12. MPAD: A Database for Binding Affinity of Membrane Protein-protein Complexes and their Mutants.
Ridha F; Kulandaisamy A; Michael Gromiha M
J Mol Biol; 2023 Jul; 435(14):167870. PubMed ID: 36309134
[TBL] [Abstract][Full Text] [Related]
13. DeepBSRPred: deep learning-based binding site residue prediction for proteins.
Nikam R; Yugandhar K; Gromiha MM
Amino Acids; 2023 Oct; 55(10):1305-1316. PubMed ID: 36574037
[TBL] [Abstract][Full Text] [Related]
14. Exploring the free-energy landscape of carbohydrate-protein complexes: development and validation of scoring functions considering the binding-site topology.
Eid S; Saleh N; Zalewski A; Vedani A
J Comput Aided Mol Des; 2014 Dec; 28(12):1191-204. PubMed ID: 25205292
[TBL] [Abstract][Full Text] [Related]
15. MPTherm-pred: Analysis and Prediction of Thermal Stability Changes upon Mutations in Transmembrane Proteins.
Kulandaisamy A; Zaucha J; Frishman D; Gromiha MM
J Mol Biol; 2021 May; 433(11):166646. PubMed ID: 32920050
[TBL] [Abstract][Full Text] [Related]
16. ProCaff: protein-carbohydrate complex binding affinity database.
Siva Shanmugam NR; Jino Blessy J; Veluraja K; Michael Gromiha M
Bioinformatics; 2020 Jun; 36(11):3615-3617. PubMed ID: 32119071
[TBL] [Abstract][Full Text] [Related]
17. Prediction of protein mutant stability using classification and regression tool.
Huang LT; Saraboji K; Ho SY; Hwang SF; Ponnuswamy MN; Gromiha MM
Biophys Chem; 2007 Feb; 125(2-3):462-70. PubMed ID: 17113702
[TBL] [Abstract][Full Text] [Related]
18. Applying physics-based scoring to calculate free energies of binding for single amino acid mutations in protein-protein complexes.
Beard H; Cholleti A; Pearlman D; Sherman W; Loving KA
PLoS One; 2013; 8(12):e82849. PubMed ID: 24340062
[TBL] [Abstract][Full Text] [Related]
19. Exploring additivity effects of double mutations on the binding affinity of protein-protein complexes.
Jemimah S; Gromiha MM
Proteins; 2018 May; 86(5):536-547. PubMed ID: 29383762
[TBL] [Abstract][Full Text] [Related]
20. CarbDisMut: database on neutral and disease-causing mutations in human carbohydrate-binding proteins.
Shanmugam NRS; Kulandaisamy A; Veluraja K; Gromiha MM
Glycobiology; 2024 Apr; 34(4):. PubMed ID: 38335248
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]