A Structure based Classification of Chemical Space

The MPDS-Compound Library (2023 version) comprises of 56 Classes;
681 Clusters; ~150 million Compounds. Each compound has unique AadharID.

--- Last Updates up to 31, December 2023 ---

Systematically exploring the chemical space is an important prerequisite for conducting computer aided drug design. The whole drug discovery may describe as finding the right molecule which will ultimately become a drug after going through all protocols as laid out by the FDA. Compound library module of Molecular Property Diagnostic Suite (MPDS) is the pristine attempt to structurally classify molecules and provide the most effective approach to bring similar compounds into a particular class. While initially, 31 classes were proposed in 2016, the recent version presents 56 classes after carefully analysing the chemical space.

A unique set of 149.43 million molecules were compiled from 42 different chemical databases, and each of these molecules are given a unique id, which we call as AadharID. We can perform a multi-layer search (i.e., exact structure search, substructure search, molecular property-based search) and connect to the AadharID and various properties. Non-redundancy is ensured by following a rigorous differentiation method adopted by grouping the chemical space into 97 portions. As some molecules may have multiple features, rules for priority of assigning a class, where a molecule show features corresponding to multiple classes are formed.

Molecular Property Diagnostic Suite

The Molecular Property Diagnostic Suite (MPDS) is an open-source drug discovery initiative, where a user will have unfettered access to all the computational methods that are required to conduct research in computational drug discovery. Increasing costs of commercial software led to a situation where a number of researchers in academic groups, especially those from the underprivileged sections, are unable to engage in research. This open-source platform has the following modules: a) data library; b) data processing; c) data analysis and d) advanced modules.

Another novel feature of the MPDS is that it aims to customize the tools for a given disease, as disease different diseases warrant unique methodologies. So far, the following disease specific web portals are operational: Tuberculosis, Diabetes Mellitus and COVID-19. While Non-alcoholic fatty liver disease (NAFLD), Metabolic Disorder (MD), HIV, Breast cancer and Neurodegenerative disorder are in the pipeline. Among them, the compound library is an important module with several novel features useful in conducting drug discovery research from computational chemistry and chemoinformatics perspective.

Contact Us

Point of Contact:

Prof. G Narahari Sastry
FNA, FASc, FNASc, FRSC
Director
Advanced Computation and Data Sciences Division
CSIR-North East Institute of Science and Technology
Jorhat, Assam 785006
gnsastry@gmail.com
director@neist.res.in


Call:

+91-376-2370012
+91-376-2372742

Our Services and Resources:

NEIMPDB
OSADHI




The complete dataset of MPDS-CL can be provided on request through the mail using above mail id to the Admin.