Supercomputing Facility for Bioinformatics and Computational Biology

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Supercomputing Facility for Bioinformatics and Computational Biology, IIT Delhi
जैवसूचना विज्ञान एवं अभिकलनी जीवविज्ञान हेतु अतिअभिकलन सुविधा, भारतीय प्रौद्योगिकी संस्थान नई दिल्ली
SCFBio logo.JPG
Type Public Research
Established31 July 2002
Co-ordinatorProf. B. Jayaram
Location,
28°54′35″N77°19′11″E / 28.90972°N 77.31972°E / 28.90972; 77.31972 Coordinates: 28°54′35″N77°19′11″E / 28.90972°N 77.31972°E / 28.90972; 77.31972
Campus Urban
Affiliations Indian Institute of Technology Delhi
Website SCFBio

Supercomputing Facility for Bioinformatics and Computational Biology, also known as SCFBio IIT Delhi, is a center for Bioinformatics & Computational Biology in Indian Institute of Technology, Delhi. This facility was established in 2002 under the aegis of the Department of Chemistry, IIT Delhi. It is recognized as a center of excellence in Bioinformatics by the Department of Biotechnology (DBT), Government of India.

Contents

History

The Supercomputing Facility for Bioinformatics and Computational Biology, (SCFBio), IIT Delhi, was established in July 2002 with funding from Department of Biotechnology under the guidance of Prof. B. Jayaram. It aims at developing novel scientific methods and new software for genome analysis, protein structure prediction, and in silico drug design. The facility was inaugurated by the Honorable Minister of Science and Technology and Human Resource Development Shri Murli Manohar Joshi, IITD adopted SCFBio as a Central Facility of National importance in March 2003.

SCFBio was upgraded to a multi-tera FLOP facility under the Programme support from DBT and inaugurated on September 2009 by honorable secretary DBT, Dr M K Bhan. The aggregate computational power of the facility is over 50 teraFLOPS with data storage of over 150 Terabytes and a modern data center. The facility is connected via 100 Mbps dedicated line.

Vision

"Genome to Drug" (Dhanvantari) envisages delivering drug molecules to society from genomic/proteomic information. It consists of mainly three stages:

  1. Interpreting the language of genomic DNA and identifying a druggable protein-coding gene (Chemgenome) for diseases/disorders,
  2. Determining the three-dimensional structure of the protein target ( Bhageerath-H) and
  3. Creating small molecules (drug) that can bind with high affinity and specificity to the protein/DNA target but with the least toxicity to humans (Sanjeevini).

To develop novel scientific methods and highly efficient algorithms, combining principles of Chemistry and Biology with Information Technology for Genome analysis, Protein structure prediction, and target-directed Drug Design pursuing the dream of delivering GENOME to DRUG to the society.

In-house software

Chemgenome Bhageerath-H Sanjeevini

Publications

S.No.TitleYEAR
1. A Physicochemical Model for Analyzing DNA Sequences 2005
2. Bhageerath: an energy based web enabled computer software suite for limiting the search space of tertiary structures of small globular proteins 2006
3. Sanjeevini: a freely accessible web-server for target directed lead molecule discovery 2012
4. Physico-chemical fingerprinting of RNA genes 2016
5. Intron exon boundary junctions in human genome have in-built unique structural and energetic signals 2021
6. Inhibiting fungal multidrug resistance by disrupting an activator–Mediator interaction 2016
For complete list, please visit here

Human resource training

23 Ph.D. students have completed their Ph.D. Currently, 2 students are pursuing Ph.D. in areas of genomics, proteomics, and drug design. Over 1056 participants have been trained in various aspects of bioinformatics through short-term training programs. SCFBio has organized several workshops and international conferences including InCoB 2006.

Two start-up companies have evolved (Leadinvent and Novoinformatics) so far from SCFBio. It also had a fruitful collaboration with Dabur, HCl Life Sciences, and NIIT. It forms the computational backbone to School of Biological Sciences, IIT Delhi creating a strong collaboration between computational and experimental biology.


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