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Items: 1 to 20 of 167

1.

PDBparam: Online Resource for Computing Structural Parameters of Proteins.

Nagarajan R, Archana A, Thangakani AM, Jemimah S, Velmurugan D, Gromiha MM.

Bioinform Biol Insights. 2016 Jun 14;10:73-80. doi: 10.4137/BBI.S38423. eCollection 2016. Review.

2.

Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).

Huang DS, Bevilacqua V, Gromiha MM.

IEEE/ACM Trans Comput Biol Bioinform. 2016 Jan-Feb;13(1):1-3. No abstract available.

PMID:
27314138
3.

Prediction of change in protein unfolding rates upon point mutations in two state proteins.

Chaudhary P, Naganathan AN, Gromiha MM.

Biochim Biophys Acta. 2016 Sep;1864(9):1104-9. doi: 10.1016/j.bbapap.2016.06.001. Epub 2016 Jun 2.

PMID:
27264959
4.

Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable Mutants.

Gromiha MM, Anoosha P, Huang LT.

Methods Mol Biol. 2016;1415:71-89. doi: 10.1007/978-1-4939-3572-7_4.

PMID:
27115628
5.

CPAD, Curated Protein Aggregation Database: A Repository of Manually Curated Experimental Data on Protein and Peptide Aggregation.

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

PLoS One. 2016 Apr 4;11(4):e0152949. doi: 10.1371/journal.pone.0152949. eCollection 2016.

6.

Autoimmune Responses to Soluble Aggregates of Amyloidogenic Proteins Involved in Neurodegenerative Diseases: Overlapping Aggregation Prone and Autoimmunogenic regions.

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

Sci Rep. 2016 Feb 29;6:22258. doi: 10.1038/srep22258.

7.

Mammalian Mitochondrial ncRNA Database.

Anandakumar S, Vijayakumar S, Arumugam N, Gromiha MM.

Bioinformation. 2015 Nov 30;11(11):512-3. doi: 10.6026/97320630011512. eCollection 2015.

8.

The role of stabilization centers in protein thermal stability.

Magyar C, Gromiha MM, Sávoly Z, Simon I.

Biochem Biophys Res Commun. 2016 Feb 26;471(1):57-62. doi: 10.1016/j.bbrc.2016.01.181. Epub 2016 Feb 2.

9.

Contribution of main chain and side chain atoms and their locations to the stability of thermophilic proteins.

Tompa DR, Gromiha MM, Saraboji K.

J Mol Graph Model. 2016 Mar;64:85-93. doi: 10.1016/j.jmgm.2016.01.001. Epub 2016 Jan 11.

PMID:
26811870
10.

Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target.

Chiba S, Ikeda K, Ishida T, Gromiha MM, Taguchi YH, Iwadate M, Umeyama H, Hsin KY, Kitano H, Yamamoto K, Sugaya N, Kato K, Okuno T, Chikenji G, Mochizuki M, Yasuo N, Yoshino R, Yanagisawa K, Ban T, Teramoto R, Ramakrishnan C, Thangakani AM, Velmurugan D, Prathipati P, Ito J, Tsuchiya Y, Mizuguchi K, Honma T, Hirokawa T, Akiyama Y, Sekijima M.

Sci Rep. 2015 Nov 26;5:17209. doi: 10.1038/srep17209.

11.

Analysis of protein-protein interaction networks based on binding affinity.

Yugandhar K, Gromiha MM.

Curr Protein Pept Sci. 2016;17(1):72-81.

PMID:
26412787
12.

Prediction of protein disorder on amino acid substitutions.

Anoosha P, Sakthivel R, Gromiha MM.

Anal Biochem. 2015 Dec 15;491:18-22. doi: 10.1016/j.ab.2015.08.028. Epub 2015 Sep 6.

PMID:
26348538
13.

Discrimination of driver and passenger mutations in epidermal growth factor receptor in cancer.

Anoosha P, Huang LT, Sakthivel R, Karunagaran D, Gromiha MM.

Mutat Res. 2015 Oct;780:24-34. doi: 10.1016/j.mrfmmm.2015.07.005. Epub 2015 Jul 20.

PMID:
26264175
14.

Identification of dengue viral RNA-dependent RNA polymerase inhibitor using computational fragment-based approaches and molecular dynamics study.

Anusuya S, Velmurugan D, Gromiha MM.

J Biomol Struct Dyn. 2016 Jul;34(7):1512-32. doi: 10.1080/07391102.2015.1081620. Epub 2015 Oct 20.

PMID:
26262439
15.

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
16.

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.

17.

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.

18.

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 Sep;28(9):528-38. doi: 10.1002/jmr.2468. Epub 2015 Mar 11.

PMID:
25760468
19.

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.

20.

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
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