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Title

DaiCee: A database for anti-cancer compounds with targets and side effect profiles

 

Authors

Manikkam Rajalakshmi*, Sugumaran Suveena, Periyasamy Vijayalakshmia, Sabapathy Indu, Anita Roy, Antony Ludas

 

Affiliation

DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India

 

Email

Dr. Rajalakshmi Manikkam - Fax: 0431-2713312; E-mail: mdraji@gmail.com; Mobile: +91-99524 98098; *Corresponding author

 

Article Type

Research Article

 

Date

Received September 19, 2020; Revision September 28, 2020; Accepted September 28, 2020; Published November 30, 2020

 

Abstract

Identification of the toxicity of compounds is more crucial before entering clinical trials. Awareness of physiochemical properties, possible targets and side effects has become a major public health issue to reduce risks. Experimental determination of analyzing the physiochemical properties of a drug, their interaction with specific receptors and identifying their side-effects remain challenging is time consuming and costly. We describe a manually compiled database named DaiCee database, which contains 2100 anticancer drugs with information on their physiochemical properties, targets of action and side effects. It includes both synthetic and herbal anti-cancer compounds. It allows the search for SMILES notation, Lipinski’s and ADME/T properties, targets and side effect profiles of the drugs. This helps to identify drugs with effective anticancer properties, their toxic nature, drug-likeness for in-vitro and in-vivo experiments. It also used for comparative analysis and screening of effective anticancer drugs using available data for compounds in the database. The database will be updated regularly to provide the users with latest information. The database is available at the URL http://www.hccbif.org/usersearch.php

 

Keywords

Drug, properties, SMILES, ADME/T, target

 

Citation

Rajalakshmi et al. Bioinformation 16(11): 843-848 (2020)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.