Gayatri Ramakrishnan[Author] - Search Results

Year	Number of Results
2014	2
2015	4
2016	1
2017	2
2019	1
2023	3
2024	2

1

From workstations to workbenches: Towards predicting physicochemically viable protein-protein interactions across a host and a pathogen.

Ramakrishnan G, Chandra NR, Srinivasan N. Ramakrishnan G, et al. IUBMB Life. 2014 Nov;66(11):759-74. doi: 10.1002/iub.1331. Epub 2014 Dec 15. IUBMB Life. 2014. PMID: 25512108 Free article. Review.

2

PANDORA v2.0: Benchmarking peptide-MHC II models and software improvements.

Parizi FM, Marzella DF, Ramakrishnan G, 't Hoen PAC, Karimi-Jafari MH, Xue LC. Parizi FM, et al. Among authors: ramakrishnan g. Front Immunol. 2023 Dec 8;14:1285899. doi: 10.3389/fimmu.2023.1285899. eCollection 2023. Front Immunol. 2023. PMID: 38143769 Free PMC article.

3

Understanding structure-guided variant effect predictions using 3D convolutional neural networks.

Ramakrishnan G, Baakman C, Heijl S, Vroling B, van Horck R, Hiraki J, Xue LC, Huynen MA. Ramakrishnan G, et al. Front Mol Biosci. 2023 Jul 5;10:1204157. doi: 10.3389/fmolb.2023.1204157. eCollection 2023. Front Mol Biosci. 2023. PMID: 37475887 Free PMC article.

4

Enriching the annotation of Mycobacterium tuberculosis H37Rv proteome using remote homology detection approaches: insights into structure and function.

Ramakrishnan G, Ochoa-Montaño B, Raghavender US, Mudgal R, Joshi AG, Chandra NR, Sowdhamini R, Blundell TL, Srinivasan N. Ramakrishnan G, et al. Tuberculosis (Edinb). 2015 Jan;95(1):14-25. doi: 10.1016/j.tube.2014.10.009. Epub 2014 Nov 6. Tuberculosis (Edinb). 2015. PMID: 25467293 Review.

5

SInCRe-structural interactome computational resource for Mycobacterium tuberculosis.

Metri R, Hariharaputran S, Ramakrishnan G, Anand P, Raghavender US, Ochoa-Montaño B, Higueruelo AP, Sowdhamini R, Chandra NR, Blundell TL, Srinivasan N. Metri R, et al. Among authors: ramakrishnan g. Database (Oxford). 2015 Jun 30;2015:bav060. doi: 10.1093/database/bav060. Print 2015. Database (Oxford). 2015. PMID: 26130660 Free PMC article.

6

Computational recognition and analysis of hitherto uncharacterized nucleotide cyclase-like proteins in bacteria.

Ramakrishnan G, Jain A, Chandra N, Srinivasan N. Ramakrishnan G, et al. Biol Direct. 2016 May 31;11:27. doi: 10.1186/s13062-016-0130-9. Biol Direct. 2016. PMID: 27246835 Free PMC article.

7

Exploring anti-malarial potential of FDA approved drugs: an in silico approach.

Ramakrishnan G, Chandra N, Srinivasan N. Ramakrishnan G, et al. Malar J. 2017 Jul 18;16(1):290. doi: 10.1186/s12936-017-1937-2. Malar J. 2017. PMID: 28720135 Free PMC article.

8

DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues.

Kock KH, Kimes PK, Gisselbrecht SS, Inukai S, Phanor SK, Anderson JT, Ramakrishnan G, Lipper CH, Song D, Kurland JV, Rogers JM, Jeong R, Blacklow SC, Irizarry RA, Bulyk ML. Kock KH, et al. Among authors: ramakrishnan g. Nat Commun. 2024 Apr 10;15(1):3110. doi: 10.1038/s41467-024-47396-0. Nat Commun. 2024. PMID: 38600112 Free PMC article.

9

Parallel evolution and enhanced virulence upon in vivo passage of an RNA virus in Drosophila melanogaster.

Lezcano OM, Fuhrmann L, Ramakrishnan G, Beerenwinkel N, Huynen MA, van Rij RP. Lezcano OM, et al. Among authors: ramakrishnan g. Virus Evol. 2023 Dec 15;9(2):vead074. doi: 10.1093/ve/vead074. eCollection 2023. Virus Evol. 2023. PMID: 38162315 Free PMC article.

10

Repurposing Drugs Based on Evolutionary Relationships Between Targets of Approved Drugs and Proteins of Interest.

Chakraborti S, Ramakrishnan G, Srinivasan N. Chakraborti S, et al. Among authors: ramakrishnan g. Methods Mol Biol. 2019;1903:45-59. doi: 10.1007/978-1-4939-8955-3_3. Methods Mol Biol. 2019. PMID: 30547435

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