NNP
Project Title: A knowledgebase of molecular interactions in Mycobacterium-National Network Project of IISER, Pune
Project Title: A knowledgebase of molecular interactions in Mycobacterium-National Network Project of IISER, Pune
NNP Partners
Publications
Srivastava, A. (2025). Emerging paradigms in the lateral and transverse organization in biological membrane and their functional implications: Connecting the dots with biomolecular simulations. Current Opinion in Structural Biology, 94, 103128. https://doi.org/10.1016/j.sbi.2025.103128
Mallick, Argha Mario, Ananya Chatterjee, Arun Bahadur Gurung, Prithviraj Uttarasili, Archana Tripathi, Monjuri Hembram, Anand Srivastava, and Rituparna Sinha Roy. "Designed gramicidin-inspired stabilized peptide-based therapeutics to potentiate immunotherapy against aggressive kidney cancer." Biomaterials Science (2025). https://doi.org/10.1039/d5bm00109a
Chakraborty, A., Srimali, S., Topno, R., Ranshur, A., & Madhusudhan, M. S. (2025). MAGNETIC: a web server to fetch gene network based on motif distribution in promoters. Nucleic Acids Research, gkaf420. https://doi.org/10.1093/nar/gkaf420
Zhang, Y., Jindal, M., Viswanath, S., & Sitharam, M. (2025). A New Discrete-Geometry Approach for Integrative Docking of Proteins Using Chemical Cross-Links. Journal of Chemical Information and Modeling, 65(9), 4576-4592. https://pubs.acs.org/doi/full/10.1021/acs.jcim.4c02412
SureshKumar, H., Iyer, S. S., Banerjee, A., Poduval, P., Lyman, E., & Srivastava, A. (2025). Signatures of glassy dynamics in highly ordered lipid bilayers with emergence of soft dynamic channels. The Journal of Chemical Physics, 162(14). https://doi.org/10.1063/5.0250190
Balasubramanian, S., Roy, I., Appadurai, R., & Srivastava, A. (2025). The ribonucleoprotein hnRNPA1 mediates binding to RNA and DNA telomeric G-quadruplexes through an RGG-rich region. Journal of Biological Chemistry, 301(5). https://doi.org/10.1016/j.jbc.2025.108491
Chakraborty, A., Devarajan, A., Kumar, K., CS, R., Madhusudhan, M. S., Ratnaparkhi, G. S., & Kamat, S. S. (2025). Bioinformatics Analysis Identifies Sequence Determinants of Enzymatic Activity for the PHARC-Associated Lipase ABHD12. Biochemistry, 64(8), 1852-1863. https://doi.org/10.1021/acs.biochem.4c00865?urlappend=%3Fref%3DPDF&jav=VoR&rel=cite-as
Srivastava, A. (2025). It takes two to tango: The second membrane-binding site in peripheral proteins. Structure, 33(1), 10-12. https://doi.org/10.1016/j.str.2024.12.007
Viswanath, S. (2024). AlphaFold opens the doors to deorphanizing secreted proteins. Cell Systems, 15(11), 1000-1001. https://doi.org/10.1016/j.cels.2024.10.010
Baratam, K., & Srivastava, A. (2024). SOP-MULTI: A Self-Organized Polymer-Based Coarse-Grained Model for Multidomain and Intrinsically Disordered Proteins with Conformation Ensemble Consistent with Experimental Scattering Data. Journal of Chemical Theory and Computation, 20(22), 10179-10198. https://doi.org/10.1021/acs.jctc.4c00579?urlappend=%3Fref%3DPDF&jav=VoR&rel=cite-as
Natarajan, C., & Srivastava, A. (2024). Efficiently determining membrane-bound conformations of peripheral membrane proteins using replica exchange with hybrid tempering. The European Physical Journal Special Topics, 233(21), 3039-3051. https://doi.org/10.1140/epjs/s11734-024-01386-x
Majila, K., Arvindekar, S., Jindal, M., & Viswanath, S. (2025). Frontiers in integrative structural modeling of macromolecular assemblies. QRB discovery, 6, e3. https://doi.org/10.1017/qrd.2024.15
Pandey P, Srivastava A. sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides. Proteins. 2025; 93(1): 372-383. doi:10.1002/prot.26681
Pandey, P., & Srivastava, A. (2025). sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides. Proteins, 93(1), 372–383. https://doi.org/10.1002/prot.26681
Tripathy, M., & Srivastava, A. (2024). Non-affine deformation analysis and 3D packing defects: A new way to probe membrane heterogeneity in molecular simulations. In Methods in Enzymology (Vol. 701, pp. 541-577). Academic Press. https://doi.org/10.1016/bs.mie.2024.03.011
Pre-print
1. K. Majila, V. Ullanat, and S. Viswanath, A deep learning method for predicting interactions for intrinsically disordered regions of proteins, biorxiv, 2024. https://doi.org/10.1101/2024.12.19.629373
2. Trung, T, Vinothkumar, K.R., Subramanian, R. Cryo-Electron Microscopy in the study of Protein Protein Interactions (book chapter – in review).
Patent
Sinha Roy R., Srivastava A., Mallick A. M., Chatterjee A., Gurung A. B., Uttarasili P., Tripathi A., Hembram M. Indian Institute of Science Education and Research Kolkata. Pharmaceutical Composition for Treatment of Kidney Cancer. Indian patent application no. 202533004009 (patent of addition to granted Indian patent number – 444719). 2025 Jan 17. [In this work, we have looked at the membrane interaction of a gramicidin-inspired designed peptide and will extend the idea to AMPs]