These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
14. Specific empirical free energy function for automated docking of carbohydrates to proteins. Laederach A; Reilly PJ J Comput Chem; 2003 Nov; 24(14):1748-57. PubMed ID: 12964193 [TBL] [Abstract][Full Text] [Related]
16. TMH Stab-pred: Predicting the stability of α-helical membrane proteins using sequence and structural features. Ramakrishna Reddy P; Kulandaisamy A; Michael Gromiha M Methods; 2023 Oct; 218():118-124. PubMed ID: 37572768 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics. Jemimah S; Yugandhar K; Michael Gromiha M Bioinformatics; 2017 Sep; 33(17):2787-2788. PubMed ID: 28498885 [TBL] [Abstract][Full Text] [Related]
19. Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network. Malik A; Ahmad S BMC Struct Biol; 2007 Jan; 7():1. PubMed ID: 17201922 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]