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Dr. Ashish Runthala
Dr. Ashish Runthala
School of Sciences and Humanities, SR University, Warangal 506371, India
Verified email at sru.edu.in
Title
Cited by
Cited by
Year
Quantitative proteomics analysis reveals the tolerance of wheat to salt stress in response to Enterobacter cloacae SBP-8
RP Singh, A Runthala, S Khan, PN Jha
PloS one 12 (9), e0183513, 2017
722017
Protein structure prediction: challenging targets for CASP10
A Runthala
Journal of Biomolecular Structure and Dynamics 30 (5), 607-615, 2012
322012
Caseins: Versatility of Their Micellar Organization in Relation to the Functional and Nutritional Properties of Milk
AKE Ashish Runthala, Mustapha Mbye, Mutamad Ayyash, Yajun Xu
Molecules, 2023
232023
Refined template selection and combination algorithm significantly improves template-based modeling accuracy
A Runthala, S Chowdhury
Journal of Bioinformatics and Computational Biology 17 (02), 1950006, 2019
182019
Type-2 diabetes mellitus-associated cancer risk: In pursuit of understanding the possible link
DSMS Srinivasa Rao Vulichi, Ashish Runthala, Nagaraju Begari, Kumar Rupak ...
Diabetes & Metabolic Syndrome: Clinical Research & Reviews 16 (9), 102591, 2022
142022
In silico-directed evolution using CADEE
BA Amrein, A Runthala, SCL Kamerlin
Computational Methods in Protein Evolution, 381-415, 2018
132018
Optical biosensors for diabetes management: Advancing into stimuli-responsive sensing mechanisms
CCW Kanishk Singh, Tarun Agarwal, Utkarsh Kumar, Sampriti Pal, Ashish ...
Smart Materials in Medicine 4, 91-101, 2023
112023
Decoding the vital segments in human ATP-dependent RNA helicase
V Kamjula, A Kanneganti, R Metla, K Nidamanuri, S Idupulapati, ...
Bioinformation 16 (2), 160, 2020
112020
Iterative optimal TM_score and Z_score guided sampling significantly improves model topology
A Runthala, S Chowdhury
Proceedings of the International MultiConference of Engineers and Computer …, 2014
112014
Protein structure prediction: are we there yet?
A Runthala, S Chowdhury
Knowledge-based systems in biomedicine and computational life science, 79-115, 2013
112013
Improved protein model ranking through topological assessment
S Garg, S Kakkar, A Runthala
Computational Biology and Bioinformatics, 410-428, 2016
102016
Unsolved problems of ambient computationally intelligent TBM algorithms
A Runthala, S Chowdhury
Hybrid Soft Computing Approaches, 75-105, 2015
102015
Evaluation of specificity determinants in Mycobacterium tuberculosis σ/anti-σ factor interactions
AK Jamithireddy, A Runthala, B Gopal
Biochemical and Biophysical Research Communications 521 (4), 900-906, 2020
92020
Metabolic and enzyme engineering for the microbial production of anticancer terpenoids
SC Phulara, VS Rajput, B Mazumdar, A Runthala
'Essentials of Cancer Genomic, Computational Approaches and Precision …, 2020
82020
Probabilistic divergence of a template-based modelling methodology from the ideal protocol
A Runthala
Journal of Molecular Modeling 27 (2), 25, 2021
7*2021
Shikimate kinase inhibitors: an update on promising strategy against mycobacterium tuberculosis
VS Rajput, A Runthala, IA Khan
Current Drug Targets 24 (5), 388-405, 2023
52023
Camel milk α-lactalbumin as a potential anticancer molecule: a bioinformatics analysis
US Dubey
Research Journal of Pharmaceutical, Biological and Chemical Sciences, 2020
52020
Tegument based in-silico drug targeting of herpes simplex virus-1
A Runthala, AK Singh
Saratov J Med Sci Res 6 (2), 353-357, 2010
52010
Appraisal of Pancreatic Lipase Inhibitory Potential of Ziziphus oenoplia (L.)Mill. Leaves by In Vitro and In Silico Approaches
ACS Omega, 2023
42023
Accurate computational evolution of proteins and its dependence on deep learning and machine learning strategies
N Prabha, Sankara, R Ashish
Biocatalysis and Biotransformation, 2022
42022
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