Novel heterocyclic hybrids of Thiophene clubbed 1,3,4-oxadiazoles targeting dihydrofolate reductase (DHFR): An in silico approach, molecular docking, ADMET studies, MM-GBSA assay and MD simulations

IF 2.2 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biophysical chemistry Pub Date : 2026-03-01 Epub Date: 2025-11-21 DOI:10.1016/j.bpc.2025.107553
S. Prasanth , B.C. Revanasiddappa , Venkatesh Ranjan , Durgesh Paresh Bidye , Sheshagiri R. Dixit
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引用次数: 0

Abstract

Nowadays Antimicrobial resistance (AMR) is considered as one of the major global concern and has become the leading confront since bacteria is continuously involved in the development of resistance against the diversified class of antimicrobial agents. Therefore, there is an urgent demand to find the new inhibitors and targets to overcome this problem. Dihydrofolate reductase (DHFR) is considered as one of the key enzyme, which plays a major role in supporting bacterial growth and hence these inhibitors were found to be highly effective therapeutic agents in combating bacterial infections. In this present study, Thiophene-clubbed 1,3,4-oxadiazoles derivatives (T1–15) were designed as potential DHFR inhibitors by in silico approach. We investigated 99 compounds as potential inhibitors of DHFR and the top 15 compounds were further selected for molecular docking studies. By using Schrodinger Maestro all the compounds were subjected to molecular docking study against the DHFR target (PDB:1DG5). The compounds T1 (‐8.206 kcal/mol) and T2 (−7.701 kcal/mol) exhibited highest docking scores when compared to the standard Trimethoprim (−6.482) and adhered to Lipinski rule for drug likeness, ADMET and toxicity profile. The MM-GBSA analysis indicated stable binding free energies. MD simulations have been performed for compound T1 and Trimethoprim to determine the stability of the complex for 200 ns. Overall, this research lays the groundwork in the development of novel class of DHFR inhibitors.

Abstract Image

针对二氢叶酸还原酶(DHFR)的新型杂环噻吩棒化1,3,4-恶二唑:硅方法、分子对接、ADMET研究、MM-GBSA测定和MD模拟
目前,抗生素耐药性(AMR)被认为是全球关注的主要问题之一,并已成为主要的对抗,因为细菌不断参与对各种抗微生物药物的耐药性发展。因此,迫切需要找到新的抑制剂和靶点来克服这一问题。二氢叶酸还原酶(DHFR)被认为是支持细菌生长的关键酶之一,因此这些抑制剂被发现是对抗细菌感染的高效治疗剂。在本研究中,噻吩棒状的1,3,4-恶二唑衍生物(T1-15)被设计为潜在的DHFR抑制剂。我们研究了99个化合物作为DHFR的潜在抑制剂,并进一步选择了前15个化合物进行分子对接研究。利用Schrodinger Maestro软件对所有化合物与DHFR靶点(PDB:1DG5)进行分子对接研究。化合物T1(‐8.206 kcal/mol)和T2(−7.701 kcal/mol)与标准的甲氧苄啶(−6.482 kcal/mol)相比具有最高的对接分数,并且在药物相似性、ADMET和毒性谱方面符合Lipinski规则。MM-GBSA分析表明结合自由能稳定。对化合物T1和甲氧苄啶进行了MD模拟,以确定配合物在200 ns内的稳定性。总之,本研究为开发新型DHFR抑制剂奠定了基础。
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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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