Associate Professor
School of Sciences & Humanities
Bioinformatics, and Computational Biology
Enzyme Engineering of the DXP pathway, Metabolic Engineering
Ph.D. in Bioinformatics from BITS-Pilani, Pilani Campus
M.E. in Biotechnology from BITS-Pilani, Pilani Campus
M.Sc. in Biological Sciences from BITS-Pilani, Pilani Campus
Associate Professor at KL University, Vijayawada, from 2019-04-12 to 2019-11-23.
Research Associate at Indian Institute of Science, Bengaluru, from 2017-04-13 to 2019-03-11.
Assistant Professor at Presidency University, Bengaluru, from 2016-12-15 to 2017-04-12.
Visiting Faculty at BITS-Pilani, Pilani Campus, from 2016-07-18 to 2017-04-14.
Lecturer at BITS-Pilani, Pilani Campus, from 2009-11-01 to 2016-07-17.
Assistant Lecturer at BITS-Pilani, Pilani Campus, from 2008-06-01 to 2009-10-31.
Teaching Assistant at BITS-Pilani, Pilani Campus, from 2005-06-01 to 2008-05-31.
Ph.D
PG
UG
Ashish Runthala, Pulla Sai Satya Sri, Aayush Sasikumar Nair, Murali Krishna Puttagunta, T Chandra Sekhar Rao, Vajrala Sreya Ganugapati, Reshma Sowmya, Koteswara Reddy G (2024) Decoding transaminase motifs: Tracing the unknown patterns for enhancing the accuracy of computational screening methodologies, Gene, 936, 149091 (I.F.: 2.6)
CONFERENCE PROCEEDIGS (ORAL PRESENTATIONS): Ashish Runthala*, Shamantha Nasika, Kamjula Vandana, Monica Adapala, Vijayakumar Rajendran, Rajasekhar Reddy Manyam, Manmohan Sharma (2024) Need for a more Accurate Phylogeny Metaserver. Proceedings of the IInd International Conference on Technology, Informatics and Engineering, Indonesia, AIP Conference Proceedings, 2927(1), 050011.
Ashish Runthala*, K. Sowmya, Shamantha Nasika, Bhimavarapu Sai, Atanu Talukdar, Vijayakumar Rajendran, S. Karthikeyan, T. Silambarasan, Manmohan Sharma (2024) Refined Evolutionary Trees Through an Exceptionally Compatible Alignment-Substitution Model, Journal of Applied Biology and Biotechnology, 12(3), 176-188. (I.F.: 1.1)
Ashish Runthala*, Silambarasan Tamil Selvan, Thenkrishnan Kumaraguru (2023) Enzyme Design Methodologies to Enhance Enzymatic Yield. Frontiers in Bioengineering and Biotechnology,11, 1271980. (I.F.: 4.3)
BOOK: Vikrant Singh Rajput, Ashish Runthala (2023) Drugs, from bench to bedside: A methodological compendium, Book Publisher: Springer Nature. (ISBN: 978-981-19-7952-1)
BOOK CHAPTER: Vijayakumar Rajendran, Saravanan Kandasamy, Ankita Gupta, Killivalavan Asaithambi, Ashish Runthala, Jagannathan Selvaraj, Shivanandappa Kukkaler Channappa (2023) In Silico Identification of Potential Antivirals Against SARS-CoV-2 Main Protease and RBD of Spike Protein: A Drug Repurposing Approach. Drugs and a Methodological Compendium, 1, 399-410 (Springer Nature).
Srinivasa Vulichi, Ashish Runthala*, Siva K, Radhika SP Yaramanedi, Partha S. Sahoo, Burra VLS Prasad, Nameet Kaur, Sudheer A, Somasekhar R, AR Chippada, Durga S.M. Sistla (2023) An Appraisal of Pancreatic Lipase inhibitory Potential of Ziziphus oenoplia (L.) Mill. leaves by In-vitro and In-silico Approaches. ACS Omega, 8(19), 16630- 16646. (I.F.: 4.1)
Vikrant Singh Rajput, Ashish Runthala, Inshad Khan (2023) Shikimate kinase inhibitors: An update on promising strategy against Mycobacterium tuberculosis. Current Drug Targets, 24(5), 388-405. (I.F.: 3.2).
Ashish Runthala*, Mustapha Mbye, Mutamad Ayyash, Yajun Xu, Afaf Kamal Eldin (2023) Caseins and versatility of their micellar organization in relation to the functional and nutritional properties of milk. Molecules, 28(5), 1-36. (I.F.: 4.2)
Kanishk Singh, Tarun Agarwal, Utkarsh Kumar, Sampriti Pal, Ashish Runthala, Tung-Ming Pan, Ching Chow Wu (2023) Optical biosensors for diabetes management: Advancing into stimuli-responsive sensing mechanisms. Smart Materials in Medicine, 4, 91-101. (I.F.: 1.9).
Srinivasa Rao Vulichi, Ashish Runthala*, Nagaraju Begari, Kumar Rupak, Venkata Rao Chunduri, Kapur Suman, Appa Rao Chippada, Durga Srinivasa Murthy Sistla (2022) Type-2 diabetes mellitus-associated cancer risk: In pursuit of understanding the possible link. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 16 (9), 102591. (I.F.: 4.3)
Devi Prasanna, Ashish Runthala* (2022) Computationally decoding NudF residues to enhance the yield of DXS pathway. ACS Omega, 7(23): 19898–19912. (I.F.: 4.1)
Vibha Shukla#, Ashish Runthala#, Vikrant Singh Rajput, P Chandra Sai, Anurag Tripathi, Suresh Chandra Phulara (2022) Computational and Synthetic biology approaches for the biosynthesis of antiviral and anticancer terpenoids from Bacillus subtilis. Medicinal Chemistry, 18(3):307-322. (I.F.: 1.9).
Harisomayajula Valli, Devi Prasanna, Vikrant Singh Rajput, Wuriti Sridhar, N.N.V. Sakuntala, Padamata Harshavardhan, Ashish Runthala* (2022) Cis Elements: Added Boost to the Directed Evolution of Plant Genes. Journal of Pure and Applied Microbiology, 16(1), 663-668. (I.F.: 0.7).
Prabha Sankara Narayanan, Ashish Runthala* (2022) Accurate computational evolution of proteins and its dependence on deep learning and machine learning strategies. Biocatalysis and Biotransformation, 40(3): 169-181. (I.F.: 1.4)
Ashish Runthala (2021) Probabilistic divergence of a template-based modelling methodology from the ideal protocol. Journal of Molecular Modeling, 27 (2), 25. (I.F.: 2.1)
Ashish Runthala*, Tavakala Harsha Sai, Vandana Kamjula, Suresh C Phulara, Vikrant Singh Rajput, Karthikeyan Sangapillai (2020) Excavating the functionally crucial active-site residues of the DXS protein of Bacillus subtilis by exploring its closest homologues. Journal of Genetic Engineering and Biotechnology, 18(1), 76. (I.F.: 3.6)
Anil Kumar Jamithireddy, Ashish Runthala, Balasubramanian Gopal (2020) Evaluation of specificity determinants in Mycobacterium tuberculosis ?/anti-? factor interactions. Biochemical and Biophysical Research Communications, 521(4), 900-906. (I.F.: 2.5).
Vandana Kamjula, Ananya Kanneganti, Rohan Metla, JK Pemmadi, Ashish Runthala* (2020) Decoding the vital segments in human ATP-dependent RNA helicase. Bioinformation, 16(2), 160-170. (I.F.: 1.9).
BOOK CHAPTER: Suresh CP, Vikrant SR, Bidyut M, Ashish Runthala* (2020) Metabolic and enzyme engineering for the microbial production of anticancer terpenoids. Essentials of cancer genomic, computational approaches and precision medicine, 237-259. (Springer-Nature)
Ashish Runthala, Shibasish Chowdhury (2019) Refined template selection and combination algorithm significantly improves template based modelling accuracy. Journal of Bioinformatics and Computational Biology, 17(2), 1950006. (I.F.: 1.0).
BOOK CHAPTER: Amrein BA, Ashish Runthala, Kamerlin Shina Caroline Lynn (2019) In Silico-Directed Evolution Using CADEE. Methods in Molecular Biology, 1851, 381-415. (Humana Press)
Rajnish PS, Ashish Runthala, Shaheed Khan, Prabhat Nath Jha (2017) Quantitative proteomics analysis reveals the tolerance of wheat to salt stress in response to Enterobacter cloacae SBP-8. PLoS ONE, 12(9): e0183513. (I.F.: 2.9).
BOOK CHAPTER: Shikhin Garg, Smarth Kakkar, Ashish Runthala* (2016) Improved protein model ranking through topological assessment. Computational Biology and Bioinformatics: Gene Regulation, 394-412. (CRC Press).
BOOK CHAPTER: Ashish Runthala*, Shibasish Chowdhury. (2015) Unsolved problems of ambient computationally intelligent TBM algorithms, Studies in Computational Intelligence, 611, 75-105. (Springer-Nature).
BOOK CHAPTER: Ashish Runthala*, Shibasish Chowdhury (2014) Protein structure prediction: Are we there yet?. Studies in Computational Intelligence, 450, 79-115. (Springer-Nature).
CONFERENCE PROCEEDIGS (ORAL PRESENTATIONS): Ashish Runthala*, Shibasish Chowdhury (2014) Iterative Optimal TM_Score and Z_Score Guided Sampling Significantly Improves Model Topology, Lecture Notes in Engineering and Computer Science: Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong, 123-128.
Ashish Runthala (2012) Tolerable environmentally inverse constrained functional metabolism: Key to fight obesity. Russian Open Medical Journal, 3, 0309. (I.F.: 0.621)
BOOK CHAPTER: Ashish Runthala* (2010) Hunting Drugs for Potent Antigens in the Silicon Valley. Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications, 203-225. (IGI GLOBAL).
Scoring method is developed here for predicting the biological credibility of MEBP vaccine constructs.