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Results: 1 to 20 of 154

1.

Identifying a potential receptor for the antibacterial peptide of sponge Axinella donnani endosymbiont.

Vimala A, Ramakrishnan C, Gromiha MM.

Gene. 2015 Jul 25;566(2):166-74. doi: 10.1016/j.gene.2015.04.070. Epub 2015 May 2.

PMID:
25939848
2.

Structure based approach for understanding organism specific recognition of protein-RNA complexes.

Nagarajan R, Chothani SP, Ramakrishnan C, Sekijima M, Gromiha MM.

Biol Direct. 2015 Mar 7;10:8. doi: 10.1186/s13062-015-0039-8.

3.

Development of a machine learning method to predict membrane protein-ligand binding residues using basic sequence information.

Suresh MX, Gromiha MM, Suwa M.

Adv Bioinformatics. 2015;2015:843030. doi: 10.1155/2015/843030. Epub 2015 Jan 31.

4.

Theoretical investigation on the glycan-binding specificity of Agrocybe cylindracea galectin using molecular modeling and molecular dynamics simulation studies.

Parasuraman P, Murugan V, Selvin JF, Gromiha MM, Fukui K, Veluraja K.

J Mol Recognit. 2015 Mar 11. doi: 10.1002/jmr.2468. [Epub ahead of print]

PMID:
25760468
5.

Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations.

Chaudhary P, Naganathan AN, Gromiha MM.

Bioinformatics. 2015 Jul 1;31(13):2091-7. doi: 10.1093/bioinformatics/btv091. Epub 2015 Feb 16.

PMID:
25686635
6.

Mutational studies to understand the structure-function relationship in multidrug efflux transporters: applications for distinguishing mutants with high specificity.

Gromiha MM, Anoosha P, Velmurugan D, Fukui K.

Int J Biol Macromol. 2015 Apr;75:218-24. doi: 10.1016/j.ijbiomac.2015.01.028. Epub 2015 Jan 23.

PMID:
25623022
7.

Response to the comment on 'protein-protein binding affinity prediction from amino acid sequence'.

Yugandhar K, Gromiha MM.

Bioinformatics. 2015 Mar 15;31(6):978. doi: 10.1093/bioinformatics/btu821. Epub 2014 Dec 12. No abstract available.

PMID:
25505089
8.

Protein-protein binding affinity prediction from amino acid sequence.

Yugandhar K, Gromiha MM.

Bioinformatics. 2014 Dec 15;30(24):3583-9. doi: 10.1093/bioinformatics/btu580. Epub 2014 Aug 28.

PMID:
25172924
9.

DOR - a Database of Olfactory Receptors - Integrated Repository for Sequence and Secondary Structural Information of Olfactory Receptors in Selected Eukaryotic Genomes.

Nagarathnam B, Karpe SD, Harini K, Sankar K, Iftekhar M, Rajesh D, Giji S, Archunan G, Balakrishnan V, Gromiha MM, Nemoto W, Fukui K, Sowdhamini R.

Bioinform Biol Insights. 2014 Jun 12;8:147-58. doi: 10.4137/BBI.S14858. eCollection 2014.

10.

Insights into the binding specificity of wild type and mutated wheat germ agglutinin towards Neu5Acα(2-3)Gal: a study by in silico mutations and molecular dynamics simulations.

Parasuraman P, Murugan V, Selvin JF, Gromiha MM, Fukui K, Veluraja K.

J Mol Recognit. 2014 Aug;27(8):482-92. doi: 10.1002/jmr.2369.

PMID:
24984865
11.

Editorial: structure and function of proteins.

Gromiha MM.

Protein Pept Lett. 2014;21(8):705-6. No abstract available.

PMID:
24975726
12.

GAP: towards almost 100 percent prediction for β-strand-mediated aggregating peptides with distinct morphologies.

Thangakani AM, Kumar S, Nagarajan R, Velmurugan D, Gromiha MM.

Bioinformatics. 2014 Jul 15;30(14):1983-90. doi: 10.1093/bioinformatics/btu167. Epub 2014 Mar 28.

13.

Prediction of RNA binding residues: an extensive analysis based on structure and function to select the best predictor.

Nagarajan R, Gromiha MM.

PLoS One. 2014 Mar 21;9(3):e91140. doi: 10.1371/journal.pone.0091140. eCollection 2014.

14.

Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.

Yugandhar K, Gromiha MM.

Proteins. 2014 Sep;82(9):2088-96. doi: 10.1002/prot.24564. Epub 2014 Apr 16.

PMID:
24648146
15.

High throughput computing to improve efficiency of predicting protein stability change upon mutation.

Wu CC, Lai LF, Gromiha MM, Huang LT.

Int J Data Min Bioinform. 2014;10(2):206-24.

PMID:
25796739
16.
17.

Protein Folding, Stability and Interactions.

Gromiha MM.

Protein Pept Lett. 2013 Jul 9. [Epub ahead of print] No abstract available.

PMID:
23855668
18.

Distinct position-specific sequence features of hexa-peptides that form amyloid-fibrils: application to discriminate between amyloid fibril and amorphous β-aggregate forming peptide sequences.

Thangakani AM, Kumar S, Velmurugan D, Gromiha MM.

BMC Bioinformatics. 2013;14 Suppl 8:S6. doi: 10.1186/1471-2105-14-S8-S6. Epub 2013 May 9.

19.

Computational approaches for predicting the binding sites and understanding the recognition mechanism of protein-DNA complexes.

Gromiha MM, Nagarajan R.

Adv Protein Chem Struct Biol. 2013;91:65-99. doi: 10.1016/B978-0-12-411637-5.00003-2. Review.

PMID:
23790211
20.

Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins.

Nagarajan R, Ahmad S, Gromiha MM.

Nucleic Acids Res. 2013 Sep;41(16):7606-14. doi: 10.1093/nar/gkt544. Epub 2013 Jun 20.

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