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Molecular property diagnostic suite for diabetes mellitus (MPDSDM): An integrated web portal for drug discovery and drug repurposing.
Gaur, Anamika Singh; Nagamani, Selvaraman; Tanneeru, Karunakar; Druzhilovskiy, Dmitry; Rudik, Anastassia; Poroikov, Vladimir; Narahari Sastry, G.
Affiliation
  • Gaur AS; Centre for Molecular Modeling, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, India.
  • Nagamani S; Centre for Molecular Modeling, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, India.
  • Tanneeru K; Centre for Molecular Modeling, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, India.
  • Druzhilovskiy D; Institute of Biomedical Chemistry, Pogodinskaya Str., 10 Bldg. 8, Moscow, 119121, Russia.
  • Rudik A; Institute of Biomedical Chemistry, Pogodinskaya Str., 10 Bldg. 8, Moscow, 119121, Russia.
  • Poroikov V; Institute of Biomedical Chemistry, Pogodinskaya Str., 10 Bldg. 8, Moscow, 119121, Russia.
  • Narahari Sastry G; Centre for Molecular Modeling, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, India. Electronic address: gnsastry@iict.res.in.
J Biomed Inform ; 85: 114-125, 2018 09.
Article in En | MEDLINE | ID: mdl-30092360
ABSTRACT
Molecular Property Diagnostic Suite - Diabetes Mellitus (MPDSDM) is a Galaxy-based, open source disease-specific web portal for diabetes. It consists of three modules namely (i) data library (ii) data processing and (iii) data analysis tools. The data library (target library and literature) module provide extensive and curated information about the genes involved in type 1 and type 2 diabetes onset and progression stage (available at http//www.mpds-diabetes.in). The database also contains information on drug targets, biomarkers, therapeutics and associated genes specific to type 1, and type 2 diabetes. A unique MPDS identification number has been assigned for each gene involved in diabetes mellitus and the corresponding card contains chromosomal data, gene information, protein UniProt ID, functional domains, druggability and related pathway information. One of the objectives of the web portal is to have an open source data repository that contains all information on diabetes and use this information for developing therapeutics to cure diabetes. We also make an attempt for computational drug repurposing for the validated diabetes targets. We performed virtual screening of 1455 FDA approved drugs on selected 20 type 1 and type 2 diabetes proteins using docking protocol and their biological activity was predicted using "PASS Online" server (http//www.way2drug.com/passonline) towards anti-diabetic activity, resulted in the identification of 41 drug molecules. Five drug molecules (which are earlier known for anti-malarial/microbial, anti-viral, anti-cancer, anti-pulmonary activities) were proposed to have a better repurposing potential for type 2 anti-diabetic activity and good binding affinity towards type 2 diabetes target proteins.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Drug Discovery / Drug Repositioning Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Drug Discovery / Drug Repositioning Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: