Drugs with SMILES Similar to Coxibs

G. Kallergis, S. Sfakianakis, M. Zervakis, Marios Spanakis
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Abstract

Coxibs are a group of drugs with selective inhibition against cyclooxygenase-2 (COX-2) enzymes with increased interest from scientific community due to their side effects and potential other pharmacological mechanisms. The aim of this work is to utilize the chemical characteristics of coxibs in order to identify compounds with similar chemical structure. The approach is based on the assessment of the Simplified Molecular-Input Line-Entry System (SMILES) as adequate molecular structure representations for the identification of drug similarities. The similarity measurements are based on molecular fingerprints that were extracted from coxibs and the Maximum Consecutive Subsequence (MCS) algorithm. An ensemble of methods based on majority voting, weighting and equal weighting on the algorithms was further applied. Majority voting returned 200 similar compounds whereas weighting and equal weighting returned 53 and 27 compounds respectively. Interestingly, despite the independence of the methods, all three identified 20 common compounds. The identification of drugs with potential chemical similarity with coxibs, as revealed from similarity measurements of fingerprints and MCS scores could provide new insights for potential biological targets for coxibs or drugs that could interact with COX-2 or other biological targets of coxibs.
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与Coxibs相似的药物
coxib是一类选择性抑制环氧合酶-2 (COX-2)的药物,由于其副作用和潜在的其他药理机制而越来越受到科学界的关注。这项工作的目的是利用coxibs的化学特性,以识别具有相似化学结构的化合物。该方法基于对简化分子输入线输入系统(SMILES)的评估,该系统是识别药物相似性的适当分子结构表示。相似性测量基于从coxib中提取的分子指纹和最大连续子序列(MCS)算法。将基于多数投票、加权和等加权的方法集成到算法中。多数投票产生了200个类似的化合物,而加权和等加权分别产生了53个和27个化合物。有趣的是,尽管方法独立,但这三种方法都鉴定出了20种常见化合物。指纹图谱相似性测量和MCS评分揭示了与coxibs具有潜在化学相似性的药物的鉴定,可以为coxibs的潜在生物学靶点或与COX-2或coxibs的其他生物学靶点相互作用的药物提供新的见解。
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