Konda Mani Saravanan
Konda Mani Saravanan
Department of Biotechnology, Bharath Institute of Higher Education and Research
Verified email at - Homepage
Cited by
Cited by
Deep learning based drug screening for novel Coronavirus 2019-nCov
H Zhang, KM Saravanan, Y Yang, MT Hossain, J Li, X Ren, Y Pan, Y Wei
Interdisciplinary Sciences: Computational Life Sciences 12 (3), 368-376, 2020
DeepBindRG: a deep learning based method for estimating effective protein–ligand affinity
H Zhang, L Liao, KM Saravanan, P Yin, Y Wei
PeerJ 7, e7362, 2019
2-(2-(2,4-dioxopentan-3-ylidene)hydrazineyl)benzonitrile as novel inhibitor of receptor tyrosine kinase and PI3K/AKT/mTOR signaling pathway in glioblastoma
A Viswanathan, D Kute, A Musa, KM Saravanan, V Sipila, ...
European Journal of Medicinal Chemistry 166, 291-303, 2019
A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro
H Zhang, Y Yang, J Li, M Wang, KM Saravanan, J Wei, JTY Ng, ...
PLoS Computational Biology 16 (12), e1008489, 2020
CRISPR/Cas-Based Modifications for Therapeutic Applications: A Review
N Bharathkumar, A Sunil, P Meera, S Aksah, M Kannan, KM Saravanan, ...
Molecular Biotechnology 64 (4), 355-372, 2022
Structural basis for the inhibition of SARS-CoV2 main protease by Indian medicinal plant derived antiviral compounds
KM Saravanan, H Zhang, R Senthil, KK Vijayakumar, S Vignesh, Y Wei, ...
Journal of Biomolecular Structure & Dynamics 40 (5), 1970-1978, 2022
A novel machine learning based approach for iPS progenitor cell identification
H Zhang, X Shao, Y Peng, Y Teng, KM Saravanan, H Zhang, H Li, Y Wei
PLoS Computational Biology 15 (12), e1007351, 2019
An integrated deep learning and molecular dynamics simulation-based screening pipeline identifies inhibitors of a new cancer drug target TIPE2
H Zhang, J Li, KM Saravanan, H Wu, Z Wang, D Wu, Y Wei, Z Lu, ...
Frontiers in Pharmacology 12, 772296, 2021
Evaluation of residue-residue contact prediction methods: From retrospective to prospective
H Zhang, Z Bei, W Xi, M Hao, Z Ju, KM Saravanan, H Zhang, N Guo, ...
PLoS Computational Biology 17 (5), e1009027, 2021
Synthesis and pre-clinical validation of novel indole derivatives as a GPR17 agonist for glioblatoma treatment
P Nguyen, P Doan, T Rimpilainen, KM Saravanan, A Murugesan, ...
Journal of Medicinal Chemistry 64 (15), 10908-10918, 2021
Sequence and structural analysis of two designed proteins with 88% identity adopting different folds
KM Saravanan, H Balasubramanian, S Nallusamy, S Samuel
Protein Engineering Design and Selection 23, 911-918, 2010
On the conformational dynamics of β-amyloid forming peptides: a computational perspective
KM Saravanan, H Zhang, H Zhang, W Xi, Y Wei
Frontiers in Bioengineering & Biotechnology 8, 532, 2020
Synthesis and preclinical validation of novel P2Y1 receptor ligands as a potent anti-prostate cancer agent
H Le, T Rimpilainen, KM Saravanan, A Murugesan, O Yli-Harja, ...
Scientific Reports 9, 18938, 2019
Molecular interaction of HIC, an agonist of P2Y1 receptor, and its role in prostate cancer apoptosis
HT Le, A Murugesan, T Ramesh, O Yli-Harja, KM Saravanan, ...
International Journal of Biological Macromolecules 189, 142-150, 2021
Preliminary phytochemical screening , antibacterial potential and GC- MS analysis of two medicinal plant extracts
S Vijayaram, K Suruli, KM Saravanan, S Vasantharaj, S Sathiyavimal, ...
Pakistan Journal of Pharmaceutical Sciences 29, 819-822, 2016
Search for identical octapeptides in unrelated proteins: Structural plasticity revisited
KM Saravanan, S Selvaraj
Biopolymers 98, 11-26, 2012
E3 ligases: a potential multi-drug target for different types of cancers and neurological disorders
KM Saravanan, M Kannan, P Meera, N Bharathkumar, T Anand
Future Medicinal Chemistry 14 (3), 187-201, 2022
Dihedral angle preferences of amino acid residues forming various non-local interactions in proteins
KM Saravanan, S Selvaraj
Journal of Biological Physics 43, 265-278, 2017
Analysis of dihedral angle preferences for alanine and glycine residues in alpha and beta transmembrane regions
KM Saravanan, S Krishnaswamy
Journal of Biomolecular Structure and Dynamics 33, 552-562, 2015
Performance of secondary structure prediction methods on proteins containing structurally ambivalent sequence fragments
KM Saravanan, S Selvaraj
Biopolymers 100, 148-153, 2013
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