Supercomputing Facility for Bioinformatics &
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Click Here for Drug Design Software
Why sanjeevini ?

Sanjeevini software has been developed as a computational pathway paving the way expressely towards automating lead design, making any number of known or new candidate molecules out of a small but versatile set of building blocks called templates, screening them for drug likeness, optimizing their geomtery, determing partial atomic charges and assigning other force field parameters, docking the candidates in the active site of a given biological target , estimating the interaction/bidning energy, peforming molecular dynamics simulations with explicit solvent and salt on the biomolecular target, the candidate and the complex followed by a rigourous analysis of the binding free energy for further optimization. Presetly we have coupled Sanjeevini with AMBER and GAMESS for molecular mechanics and quantam mechanics calculations, respectively. There are total of six modules which makes Sanjeevini a complete drug design software. The source codes for all modules are written in FORTRAN, C and C++ computer languages with numerous interfacial UNIX based shell scripts which makes all the modules work like a pipeline such that output of the previous step becomes the input for the next step. The modules under Sanjeevini can also be used independent of the pathway.

Sanjeevini Pathway : Active site directed lead compound molecule in silico

Active site directed lead compound molecule in silico

Sanjeevini Modules

Module 1 : Template Library
Chemical templates are conceived as building blocks/structural frameworks for assemply and generation of new molecules

Module 2 : Molecule Generator
As a step towards de novo lead design, candidates are generated from chemical templates introduced in previous step

Module 3: Molecular Descriptors and drug like filters
A successfully lead discovery strategy must ensure bio-availaibility from the very start in generating leads while eliminating wrong candidates from considerations

Module 4: Molecular Docking
The drug activity is obtained through the molecular binding of one molecule(the ligand) to the active site of another molecular(the receptor), which in majority of cases is a protein. Computer aided methods at this stage involves- Docking and Scoring

Module 5: Energy Minimization of the Resultant Complexes
The structures of the complexes generated above are subjected to energy minimization (1000 steps of hydrogen minimization followed by 2000 steps of all atom minimization) using the SANDER module of the AMBER molecular modeling package (50).

Module 6 : Binding Affinity Computations on Energy Minimized Complexes
The statistical mechanics of binding and approximations inherent in elucidating free energies from single points in configuration space are assessed.

To know more about Sanjeevini, refer to

Jain, T. and Jayaram, B. A computational protocol for predicting the binding affinities of zinc containing metalloprotein-ligand complexes. PROTEINS: Struct. Funct. Bioinfo., 2007, 67, 1167-1178. Read Abstract

Shaikh S. A., Jain T., Sandhu G., Latha N. and Jayaram B., From Drug Target to Leads- Sketching, A Physicochemical Pathway for Lead Molecule Design In Silico ,Curr. Pharm. Des., 2007, 13, 34, 3454-3470. Read Abstract

Shaikh S. A. and Jayaram B., A Swift All-Atom Energy Based Computational Protocol to Predict DNA ligand Binding Affinity and .Tm, J. Med.Chem. , 2007, 50, 2240-2244. Read Abstract

Jain, T. and Jayaram, B. An all atom energy based computational protocol for predicting binding affinities of protein-ligand complexes. FEBS Letters. 2005, 579, 6659-6666. Read Abstract

Latha, N., Jain, T., Sharma, P. and Jayaram, B. A free energy based computational pathway from chemical templates to lead compounds: a case study of COX-2 inhibitors. J. Biomol. Struct. Dyn. 2004, 21, 791-804. Read Abstract

Jayaram, B., Latha, N.,Jain, T., Sharma, P., Gandhimathi, A., Pandey, V.S., Sanjeevini: A Comprehensive Active-Site Directed Lead Design Software. Indian Journal of Chemistry-A. 2006, 45A, 1834-1837. Read Full Text

Latha, N., and Jayaram, B. A Binding Affinity Based Computational Pathway for Active-Site Directed Lead Molecule Design: Some Promises and Perspectives. Drug Des. Rev.-Online. 2005, 2, 145-165.
Read Abstract

Kalra, P., Reddy, T.V. and Jayaram, B. Free energy component analysis for drug design: a case study of HIV-1 protease-inhibitor binding. J. Med. Chem. 2001, 44, 4325-4338.
Read Abstract