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Charuvaka Muvva
Charuvaka Muvva
Researcher
Verified email at kist.re.kr
Title
Cited by
Cited by
Year
Structure-based virtual screening of novel, high-affinity BRD4 inhibitors
C Muvva, ERA Singam, SS Raman, V Subramanian
Molecular BioSystems 10 (9), 2384-2397, 2014
442014
Phosphonium based ionic liquids-stabilizing or destabilizing agents for collagen?
A Tarannum, C Muvva, A Mehta, JR Rao, NN Fathima
RSC advances 6 (5), 4022-4033, 2016
292016
Role of preferential ions of ammonium ionic liquid in destabilization of collagen
A Tarannum, C Muvva, A Mehta, J Raghava Rao, NN Fathima
The Journal of Physical Chemistry B 120 (27), 6515-6524, 2016
282016
Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis
AS Gaur, A Bhardwaj, A Sharma, L John, MR Vivek, N Tripathi, ...
Journal of Chemical Sciences 129, 515-531, 2017
202017
Molecular docking and virtual screening for novel protein tyrosine phosphatase 1B (PTP1B) inhibitors
PS Rao, C Muvva, K Geethanjali, SB Bastipati, R Kalashikam
Bioinformation 8 (17), 834, 2012
182012
In silico identification of miRNAs and their targets from the expressed sequence tags of Raphanus sativus
C Muvva, L Tewari, K Aruna, P Ranjit, SMD Zahoorullah, KA Matheen, ...
Bioinformation 8 (2), 98, 2012
172012
Plas-5k: Dataset of protein-ligand affinities from molecular dynamics for machine learning applications
DB Korlepara, CS Vasavi, S Jeurkar, PK Pal, S Roy, S Mehta, S Sharma, ...
Scientific data 9 (1), 548, 2022
112022
Unraveling the unbinding pathways of products formed in catalytic reactions involved in SIRT1–3: A random acceleration molecular dynamics simulation study
C Muvva, NA Murugan, VS Kumar Choutipalli, V Subramanian
Journal of Chemical Information and Modeling 59 (10), 4100-4115, 2019
112019
Performance of Force-Field-and Machine Learning-Based Scoring Functions in Ranking MAO-B Protein–Inhibitor Complexes in Relevance to Developing Parkinson’s Therapeutics
NA Murugan, C Muvva, C Jeyarajpandian, J Jeyakanthan, ...
International Journal of Molecular Sciences 21 (20), 7648, 2020
102020
MMpI: a widerange of available compounds of matrix metalloproteinase inhibitors
C Muvva, S Patra, S Venkatesan
PLoS One 11 (8), e0159321, 2016
72016
Governing the Inhibition of Reconstituted Collagen Type I Assemblies Mediated Through Noncovalent Forces of (±)-α Lipoic Acid
K Rasheeda, C Muvva, NN Fathima
Langmuir 35 (4), 980-989, 2019
62019
Influenza A (H1N1) pdm09 virus: therapeutics and challenges
SK Saxena, R Kotikalapudi, S Tiwari, C Muvva
Future Virology 7 (10), 947-950, 2012
52012
Prediction of the three-dimensional structure of aflatoxin of Aspergillus flavus by homology modelling
A Kasoju, ML Narasu, C Muvva, BVV SubbaRao
Bioinformation 8 (14), 684, 2012
42012
Assessment of Amyloid Forming Tendency of Peptide Sequences from Amyloid Beta and Tau Proteins Using Force-Field, Semi-Empirical, and Density Functional Theory Calculations
C Muvva, NA Murugan, V Subramanian
International Journal of Molecular Sciences 22 (6), 3244, 2021
22021
Glycolipids Derived from the Korean Endemic Plant Aruncus aethusifolius Inducing Glucose Uptake in Mouse Skeletal Muscle C2C12 Cells
JG Baek, DH Park, NK Vu, C Muvva, H Hwang, S Song, HS Lee, TJ Kim, ...
Plants 13 (5), 608, 2024
2024
Bioavailability & Bioequivalence
SK Saxena
2012
Supplementary Information for: PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications
DB Korlepara, CS Vasavi, S Jeurkar, PK Pal, S Roy, S Mehta, S Sharma, ...
Computational studies on the structure, dynamics and binding of inhibitors with proteins involved in age-related diseases
C Muvva
Ghaziabad, 0
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Articles 1–18