Degree(s)

BSc in Computer Science (University of Madras); MSc in Computer Science (University of Madras); PhD in Computer Science, Crystallography and Biophysics (University of Madras)

Research interests

Development of computational tools to predict protein structures and ligand-receptor complexes; elucidate biological function by fitting, refining, and validating atomic models into cryo-EM density maps; predict the effects of mutations on protein stability and interaction; analysis of infectious and drug resistant mutations and genome annotation.

Teaching Interests

NST 1A Mathematical Biology (2021 - Present)

Awards and prizes

Elected Fellow of the Linnean Society of London (2025)

Elected Fellow of the Royal Society of Biology (2023)

Honorary Teaching Associateship, Biochemistry, University of Cambridge (2015)

Honorary Research Associateship, ISMB/Birkbeck, UCL (2013)

Junior Research Fellowship, Department of Biotechnology (DBT), India (2006)

Publications

Selected list

• Basrai A, Blundell T L, Pandurangan AP*. (2025). Computational analyses of drug resistance mutations in katG and emb complexes in Mycobacterium tuberculosis. Proteins 93: 359-371. (*Corresponding author).
• Dasoondi RS, Blundell TL, Pandurangan AP*. (2023). In silico analyses of isoniazid and streptomycin resistance-associated mutations in Mycobacterium tuberculosis. Comput Struct Biotechnol J, 21, 1874-1884. (*Corresponding author). 
• Ben-Tal N, Kihara D, ‎Pandurangan AP*. (2022). Computational Approaches to Study the Impact of Mutations on Disease and Drug Resistance. Frontiers Media SA (eBook). (*Corresponding author).
• Pandurangan AP*, Blundell TL*. (2020). Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning. Protein Science 29: 247-257. (*Corresponding authors).
• Pandurangan AP*, Stahlhacke J, Oates ME, Smithers B, Gough J. (2019). The SUPERFAMILY 2.0 database: a significant proteome update and a new webserver. Nucleic Acids Res 47: D490-D494. (*Corresponding author).
• Pandurangan AP*, Ochoa-Montaño B, Ascher DB, Blundell TL*. (2017). SDM: a server for predicting effects of mutations on protein stability. Nucleic Acids Res 45: W229–W235. (*Corresponding authors).
• Pandurangan AP, Ascher DB, Thomas SE, Blundell TL. (2017). Genomes, Structural Biology, and Drug Discovery: Combating the Impacts of Mutations in Genetic Disease and Antibiotic Resistance. Biochem Soc Trans 45:303-311.
• Pandurangan AP, Vasishtan D, Alber F, Topf M. (2015). γ-TEMPy: simultaneous fitting of components in 3D-EM maps of their assembly using a genetic algorithm. Structure 23:2365–2376.
• Mortensen M, Iqbal F, Pandurangan AP, Hannan S, Huckvale R, Topf M, Baker JR, Smart T. (2014). Photo-antagonism of the GABAA receptor. Nature Commun 5:4454.
• Pandurangan AP, Shakeel S, Butcher SJ and Topf M. (2014). Combined approaches to flexible fitting and assessment in virus capsids undergoing conformational change. J Struct Biol 185:427-439.
• Pandurangan AP and Topf M. (2012). Finding rigid bodies in protein structures: Application to flexible fitting into cryoEM maps. J Struct Biol 177:520-531.
• Pandurangan AP* and Topf M*. (2012). RIBFIND: a web server for identifying rigid bodies in protein structures and to aid flexible fitting into cryo EM maps. Bioinformatics 28:2391-2393. (*Corresponding authors).
• Arun Prasad P and Gautham, N. (2008). A new peptide docking strategy using a mean field technique with mutually orthogonal Latin square sampling. J Comput-Aided Mol Des 22: 815-829.

For a full publication list, please see: https://scholar.google.co.uk/citations?user=vi-VM9AAAAAJ&hl=en

Other interests

Interested in public engagement, science outreach, volunteering for charity through food hub and providing warm spaces for the needy. Hobbies include cricket, tennis and music.