Original scientific paper

https://doi.org/10.5562/cca2306

Role of Vertex Index in Substructure Identification and Activity Prediction: A Study on Antitubercular Activity of a Series of Acid Alkyl Ester Derivatives

Chandan Raychaudhury ; Bioinformatics Centre and Super Computer Education and Research Centre, Indian Institute of Science, Bangalore 560012, India
Durga D. Kandel orcid.org/0000-0002-4897-5021 ; Bioinformatics Centre and Super Computer Education and Research Centre, Indian Institute of Science, Bangalore 560012, India
Debnath Pal orcid.org/0000-0002-3591-5978 ; Bioinformatics Centre and Super Computer Education and Research Centre, Indian Institute of Science, Bangalore 560012, India

Abstract

Tuberculosis (TB) is a life threatening disease caused due to infection from Mycobacterium tu¬berculosis (Mtb). That most of the TB strains have become resistant to various existing drugs, develop¬ment of effective novel drug candidates to combat this disease is a need of the day. In spite of intensive research world-wide, the success rate of discovering a new anti-TB drug is very poor. Therefore, novel drug discovery methods have to be tried. We have used a rule based computational method that utilizes a vertex index, named ‘distance exponent index (Dx)’ (taken x = –4 here) for predicting anti-TB activity of a series of acid alkyl ester derivatives. The method is meant to identify activity related substructures from a series a compounds and predict activity of a compound on that basis. The high degree of successful pre¬diction in the present study suggests that the said method may be useful in discovering effective anti-TB compound. It is also apparent that substructural approaches may be leveraged for wide purposes in com¬puter-aided drug design. (doi: 10.5562/cca2306)

Keywords

vertex index; rule based method; acid alkyl ester derivatives; antitubercular activity

Hrčak ID:

122278

URI

https://hrcak.srce.hr/122278

Publication date:

30.4.2014.

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