Acharya Prafulla Chandra College, New Barrackpore, Kolkata – 700131
Where Curiosity Meets Discovery
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From phage therapy to molecular docking, from AI-driven protein prediction to plastic bioremediation — eight distinct research frontiers await the bold and the curious.
Six cutting-edge computational biology projects spanning protein structure prediction, phylogenetic analysis of disease-related protein families, virtual screening with molecular docking, molecular dynamics simulation, integrative protein function prediction, and bioinformatics software development.
Nine internship areas exploring AI-driven protein structure prediction, comparative evaluation of tertiary structure prediction tools, structure-based drug design using molecular docking, benchmarking bioinformatics tools, and computational investigation of protein dynamics and ligand binding mechanisms.
Four research tracks: impact of antibiotic use on resistance and society, bioactivity-guided evaluation of plant extracts, computational assessment of active compounds for drug-likeness and ADMET properties with molecular docking against microbial targets, and bioremediation of plastic waste using conventional and state-of-the-art methods.
Three interdisciplinary tracks: seasonal variation of groundwater quality in New Barrackpore (Water Microbiology), screening medicinal plant extracts for enzyme inhibitory activity (Biochemistry), and DFT analysis of medicinal molecules (Biophysics). Open to Microbiology, Biochemistry, Molecular Biology, and Biotechnology students.
Hands-on laboratory training in the isolation, identification, and characterisation of organisms, including genomic DNA isolation, detection of virulence and antibiotic resistance genes, PCR techniques, antibiotic resistance gene profiling, and statistical analysis using GraphPad Prism.
A comprehensive, multi-module project on isolation, characterisation, and therapeutic evaluation of novel bacteriophages against multidrug-resistant pathogens — spanning genomic analysis, phage–host interactions, antibiofilm applications, and in vivo assessment in a murine model. Funded by SERB, DBT, UGC, and ICMR.
A bench-to-bioinformatics workflow: from environmental sample collection, bacterial isolation, and screening through enzyme characterisation, optimisation, and assays — all the way to statistical analysis, whole genome analysis, and key findings on lipase genes.
Six modules covering isolation of extracellular enzyme-producing bacteria from natural sources, biochemical analysis and taxonomic identification, growth condition optimisation, culture condition optimisation for enzyme production, parameter optimisation for enzyme activity, and computational analysis of experimental data. Duration: 4–8 weeks.
Whether you wield a pipette or a Python script, there is a frontier here calling your name. These internships bridge wet-lab mastery with computational insight — shaping the scientists of tomorrow.