To all potential candidates interested in the field of Bioinformatics and Computational biology, our portal for the Summer internship is currently open. The portal stays open till the 15th of April 2026 23:59 hours. You can access the application portal via the link: https://lnkd.in/gK-UhC4w Applicants will be informed via mail about the date of interview on their registered mail IDs. Feel free to share this post or tag anyone in your network who might be interested! #Bioinformatics #ComputationalBiology #SummerInternship #ResearchOpportunity #DrugDiscovery #MachineLearning #SCFBio
SCFBio, IIT Delhi
Higher Education
New Delhi, Delhi 1,056 followers
A Centre of Excellence of Department of Biotechnology Ministry of Science and Technology Government of India
About us
Mentor - Prof. B. Jayaram Coordinator - Prof. Aditya Mittal Principal Investigator - Prof. Ashok Kumar Patel Expertise in:- Computational Genomics, Computational Proteomics, Computer Aided Drug Discovery (CADD), Molecular Dynamics Simulations Our Softwares: Genomics related softwares:- 1. Chemgenome 3.0: Chemgenome is an ab-intio gene prediction software, which find genes in prokaryotic and viral genomes in all six reading frames and also gives the corresponding protein sequences. http://www.scfbio-iitd.res.in/chemgenome/chemgenome3.jsp Proteomics Softwares:- BhageerathH+: A Homology ab-initio Hybrid Web server for Protein Tertiary Structure Prediction. http://www.scfbio-iitd.res.in/bhageerathH+ ProtSAV: A Protein Tertiary Structure Analysis and Validation Server. http://www.scfbio-iitd.res.in/software/proteomics/protsav.jsp SDIndex: A measure for reliable modelability of protein tertiary structure. http://www.scfbio-iitd.res.in/SDIndex Seq2Func: Protein Sequence to Function Prediction tool. http://scfbio-iitd.res.in/Seq2Func/ Seq2Enz: Protein Sequence to Enzyme Prediction tool. http://scfbio-iitd.res.in/Seq2Enz/ Drug Discovery:- Sanjeevini: A Complete Drug Design Suite. http://scfbio-iitd.res.in/Sanjeevini Dhanvantari: A comprehensive Gene to Drug Software Suite. http://scfbio-iitd.res.in/software/dhanvantari_new/Home.html AADS: Active Site Prediction Tool. http://scfbio-iitd.res.in/AADS/ RASPD+: Target-based Virtual Screening. http://scfbio-iitd.res.in/raspd+ ParDOCK+: Automated server for Protein-Ligand Docking. http://scfbio-iitd.res.in/pardock+ BAPPL+: Protein-ligand and metalloprotein-ligand binding affinity prediction. http://scfbio-iitd.res.in/bappl+ FishBAIT: Prediction of Bio-Activity informations and Targets for Organic Compounds: http://scfbio-iitd.res.in/fishbait/ Databases:- BIMP: Bioactivity of Indian Medicinal Plants. https://scfbio.iitd.ac.in/bimp/
- Website
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https://www.scfbio-iitd.res.in
External link for SCFBio, IIT Delhi
- Industry
- Higher Education
- Company size
- 2-10 employees
- Headquarters
- New Delhi, Delhi
- Type
- Educational
- Founded
- 2002
- Specialties
- Computer Aided Drug Discovery, Computational Genomics, Computatinal Proteomics, Molecular Dynamics Simulation, MD Simulations, Protein Structure Prediction, Virtual Screening, Molecular Docking, Active Site Prediction, Database Development, Software Development, HPC, Bioinformatics, Computational Biology, and Sanjeevini
Locations
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Primary
Get directions
SCFBio, 3rd Floor, Synergy Building
Indian Institute of Technology Delhi
New Delhi, Delhi 110016, IN
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Get directions
New Delhi, New Delhi 110016, IN
Employees at SCFBio, IIT Delhi
Updates
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Advancing the next generation of computational researchers! 🚀 Last week, the SCFBio, IIT Delhi, Indian Institute of Technology, Delhi, had the privilege of contributing to the BigAI-Environ 2026 National Workshop, hosted by the Institute of Environment and Sustainable Development, Banaras Hindu University. Our heartfelt thanks to Dr. Prashant Kumar Srivastava for the gracious invitation. Our team took the stage to host a specialized lecture and an intensive hands-on session focused on the intersection of AI, Big Data, and Computer-Aided Drug Design (CADD). Huge appreciation to our phenomenal lab members—Dheeraj Kumar Chaurasia, Aman Sharma, Madhvi Mishra, and Shivani Chaurasia—for designing and executing such an engaging, practical learning experience for the participants. Bridging the gap between conceptual AI frameworks and real-world drug discovery applications is at the core of what we do. Grateful for the phenomenal energy of the participants and looking forward to seeing how they leverage these computational techniques in their future environmental and biological research! #SCFBio #IITDelhi #BHU #AIinHealthcare #CADD #DrugDesign #BigData #BioinformaticsTraining #Workshop2026
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🌿 Unlocking the Ancient Wisdom of Indian Medicinal Plants with Bioinformatics 💻 We are excited to share that our book chapter, "BIMP: Unveiling the Phytochemical Richness of Indian Medicinal Plants as Potential Therapeutic Agents," has just been published by Springer Nature in the book Global Trends in Health, Technology and Management II. What is BIMP? India has a rich heritage of traditional medicine (Ayurveda, Unani), but mapping this vast knowledge to modern pharmacology is a massive data challenge. To address this, we developed BIMP (Bioactivity Information of Indian Medicinal Plants)—a manually curated database of: 🍃 6,209 Indian Medicinal Plants 🧬 105,909 Phytochemicals 🎯 Target & Disease Mapping (linking traditional uses to specific proteins) 💊 Drug-Likeness Analysis (72,318 compounds pass major drug-likeness rules!) This resource is designed to bridge the gap between traditional knowledge and modern in-silico drug discovery, providing researchers with a clean, structured dataset for virtual screening and machine learning applications. Why it matters: With the rise of multi-drug resistance and the need for novel scaffolds, nature remains our best chemist. BIMP provides the computational infrastructure to "mine" this natural richness efficiently. Access the Chapter: 🔗 https://lnkd.in/gNNPMBXf Access the Database: 🔗 https://lnkd.in/gR3NVhQ9 🤝 Team Acknowledgments: A special thanks to the BIMP Team for their continuous efforts and dedication in bringing this massive dataset to life. This was a true collaborative effort: Dheeraj Kumar Chaurasia Raushan Anjum Aman Sharma Madhvi Mishra Shashank Shekhar Dr. Ashok Kumar Patel Dr. Aditya Mittal And our mentor Prof. B. Jayaram for his guidance. Indian Institute of Technology, Delhi #Bioinformatics #DrugDiscovery #Ayurveda #MedicinalPlants #Cheminformatics #IITDelhi #SCFBio #Research #IndianKnowledgeSystems #DataScience #Phytochemicals
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New Publication Alert: Advancing In Silico Drug Discovery We are proud to announce that a new book chapter authored by members of the Supercomputing Facility for Bioinformatics & Computational Biology (SCFBio, IIT Delhi) has been published in the prestigious Springer Handbook of Chem-and Bioinformatics. Title: Prioritizing Candidate Drugs Via Virtual Screening, Docking and Simulations Part of: Springer Handbooks (SHB) In this chapter, our team details the critical computational workflows required to identify and refine potential drug candidates. From initial virtual screening to the precise mechanics of molecular docking and molecular dynamics simulations, this work provides a comprehensive guide for researchers in the field. Congratulations to the authors: Dheeraj Kumar Chaurasia Raushan Anjum Ashutosh Shandilya Ashok Kumar Patel Prof. B. Jayaram This publication underscores SCFBio’s continued commitment to developing and disseminating cutting-edge methods in computational biology and drug design. Read the full chapter here: https://lnkd.in/gTH2n6nd #SCFBio #IITDelhi #Bioinformatics #DrugDiscovery #VirtualScreening #MolecularDynamics #ComputationalChemistry #Springer #Research
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The #Bioworld 2025 was organized by the Kusuma School of Biological Sciences, Indian Institute of Technology, Delhi, at the Sonipat Campus. SCFBio, IIT Delhi made a strong showing at the event, with the team participating in full and presenting work across multiple themes. 📑 Abin L Vinod won Second Prize for the poster "Exploring Universal Peptide Patterns in Curated Protein Sequences: A Computational Approach." 🎊 Deepak Kumar received a Consolation Prize for "Molecular and Genomic Exploration of Traditional Ayurvedic Phenotypes." 🛗💊🧬 Other members who showcased their research included: Moumita Doloi, presenting "ParDOCK+: A Build-an-Approach Framework for Developing an AI-Driven Flexible Docking Algorithm and Machine Learning-Enhanced Scoring Function." 💻⚙️ Madhvi Mishra, presenting "SEARCH-ML: Screening and Ensemble Analysis for Receptors and Chemical Hits with Machine Learning." 🔎🔐 Arinjoy Datta, presenting "On the Prevalence of Intrinsically Disordered Regions in Enzymatic and Non-enzymatic Proteins." 📊📈 Congratulations to the whole team for coming together and putting up such a strong and inspiring presence. 🎉🎉🎉 #IITDelhi #KSBS #SCFBio #Bioworld2025 #Bioinformatics #DrugDiscovery #Ayurgenomics #Science #Proteomics #Genomics
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Earlier this week on 12th November, the SCFBio, IIT Delhi team conducted a bioinformatics hands-on workshop at the pre-conference event of the 66th AMI Annual International Conference & Research Conclave, “Next Gen Microbiology Education, Innovation and Research for Economy, Energy & Environment,” held at Dev Bhoomi Uttarakhand University (DBUU). Deepak Kumar opened the session by introducing participants to the central dogma and the flow of information from DNA to protein, setting the foundation for understanding how the major layers of bioinformatics take shape, including genomics, proteomics and drug discovery. Danish Aslam then took the participants into the genomics side, covering NCBI databases, file formats and datasets, along with bash-based data handling, Entrez command line use, and a BLAST demonstration that connected naturally to phylogenetic tree building (Fast Minimum Evolution and Neighbor Joining). She also explained the difference between GenBank and RefSeq genomes and discussed open questions in genomics around quality control, alignment/assembly, and annotation. Danish gave a brief overview of two recent publications and one ongoing work from the Computational Genomics team at SCFBio: 1. Sharma, D., Aslam, D., Sharma, K., Mittal, A., and Jayaram, B. (2025). Exon intron boundary detection made easy by physicochemical properties of DNA. Molecular Omics, 21(3), 226–239. https://lnkd.in/gpkBrERG 2. Sharma, D., Aslam, D., Mittal, A., and Jayaram, B. (2025). Structure and dynamics dictate the functional destiny of genomic DNA across multiple organisms. International Journal of Biological Macromolecules, 147488. https://lnkd.in/g_PSTBT8 3. An all-in-one Genome Reader for Eukaryotic Genome Annotation (ongoing) Arinjoy Datta wrapped up the workshop with a detailed walkthrough of UniProt and the Protein Data Bank (PDB), covering modern mmCIF formats, legacy PDB files, and how experimental structures vary across NMR and X-ray crystallography. He also discussed intrinsically disordered proteins and showed how predicted structures from AlphaFold complement these experimental resources. His session tied protein structure prediction and functional interpretation into a clear workflow. It was a curious and energetic group, and the team was glad to represent SCFBio. #AMI66 #Genomics #SCFBio #Bioinformatics #ComputationalGenomics #Proteomics #ComputationalBiology #DBUU #Conference Prof. (Dr.) Nabeel Ahmad
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It is with immense pride that the SCFBio family congratulates our very own Dr. Dinesh Sharma for successfully defending his Ph.D. thesis on October 3rd! Watching Dinesh's journey of hard work and dedication has been an inspiration. His contribution to our lab has been significant, and this achievement is a true reflection of his passion for science. We celebrated this wonderful occasion in style with a grand party last evening, a perfect send-off for his doctoral journey and a great memory for all of us at the lab. Wishing you a future as bright as your research, Dr. Sharma! We can't wait to see where your path takes you. #iitd #scfbio #drsaab
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SCFBio, IIT Delhi reposted this
Officially Dr. Dinesh Sharma! Thrilled to share that I have successfully defended my Ph.D. thesis titled: “A Machine-learning Augmented Physicochemical Approach to Eukaryotic Genome Annotation” This journey has been an incredible mix of curiosity, challenges, and growth; from exploring the structural and energetic landscape of genomic DNA to building computational models that bridge physics, biology, and data science. I owe my deepest gratitude to my supervisors, Prof. B. Jayaram and Prof. Aditya Mittal, for their constant guidance, vision, and belief in my work. My heartfelt thanks to the members of my Student Research Committee and external examiner, Pradipta Bandyopadhyay Sir for their valuable feedback and encouragement. A special thanks to the SCFBio, IIT Delhi, KSBS, IIT Delhi, and all lab members and friends who made this journey both intellectually stimulating and personally memorable. Finally, I am grateful to my family for their unwavering support and love — this milestone is as much theirs as it is mine. PS: Special thanks to Danish Aslam,Aman Sharma , Arinjoy Datta, and Deepak Kumar for making the day truly unforgettable!.
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SCFBio, IIT Delhi reposted this
How do structural and energetic features of DNA regulates its function? Do genomic elements carry distinct biophysical signals across species? Can these signals provide a universal framework for genome annotation? Our new paper, “Structure and dynamics dictate the functional destiny of genomic DNA across multiple organisms”, published in the International Journal of Biological Macromolecules, takes a step toward answering these questions. By profiling millions of genomic loci across diverse eukaryotic species, we uncovered distinct structural and energetic “fingerprints” at promoters, exon–intron junctions, start/stop codons, and more. These signatures are both conserved and lineage-specific, highlighting DNA’s physicochemical signatures as a powerful complement to sequence-based annotation. Grateful to my mentors Prof. B Jayaram and Prof. Aditya Mittal, my co-author Danish Aslam and the SCFBio, IIT Delhi team at IIT Delhi. Special thanks to Department of Biotechnology. Read the full article at: https://lnkd.in/ePwFPrmU #Genomics #Bioinformatics #GenomeAnnotation #DNA #ComputationalBiology