Designing potential lead compounds targeting aminoglycoside N (6')-acetyltransferase in Serratia marcescens: A drug discovery strategy.

Jeyaraman Jeyakanthan, Sundararaj Rajamanikandan, Palaniyandi Velusamy, Subash C B Gopinath, Dhamodharan Prabhu, Gopalakrishnan Shankari, Sasikumar Pattabi

Journal: International journal of biological macromolecules 2024;281(Pt 1):136976

PMID: 39490491

Abstract

Serratia marcescens is an opportunistic human pathogen that causes urinary tract infections, ocular lens infections, and respiratory tract infections. S. marcescens employs various defense mechanisms to evade antibiotics, one of which is mediated by aminoglycoside N-acetyltransferase (AAC). In this mechanism, the enzyme AAC facilitates the transfer and linkage of the acetyl moiety from the donor substrate acetyl-coenzyme A to specific positions on antibiotics. This modification alters the antibiotic's structure, leading to the inactivation of aminoglycoside antibiotics. In the current scenario, antibiotic resistance has become a global threat, and targeting the enzymes that mediate resistance is considered crucial to combat this issue. The study aimed to address the increasing global threat of antibiotic resistance in Serratia marcescens by targeting the aminoglycoside N-acetyltransferase (AAC (6')) enzyme, which inactivates aminoglycoside antibiotics through acetylation. Due to the absence of experimental structure, we constructed a homology model of aminoglycoside N (6')-acetyltransferase (AAC (6')) of S. marcescens using the atomic structure of aminoglycoside N-acetyltransferase AAC (6')-Ib (PDB ID: 1V0C) as a template. The stable architecture and integrity of the modelled AAC (6') structure were analyzed through a 100 ns simulation. Structure-guided high-throughput screening of four small molecule databases (Binding, Life Chemicals, Zinc, and Toslab) resulted in the identification of potent inhibitors against AAC (6'). The hits obtained from screening were manually clustered, and the five hit molecules were shortlisted based on the docking score, which are observed in the range of -17.09 kcal/mol to -11.95 kcal/mol. These selected five molecules displayed acceptable pharmacological properties in ADME predictions. The binding free energy calculations, and molecular dynamics simulations of ligand bound AAC (6') complexes represented higher affinity and stable binding. The selected molecules demonstrated stable binding with AAC (6'), indicating their strong potential to hamper the binding of aminoglycoside in the respective site. and thereby inhibit. This process mitigates enzyme mediated AAC (6') activity on aminoglycosides and reverse the bactericidal function of aminoglycosides, and also this method could serve as a platform for the development of potential antimicrobials.

Copyright © 2024 Elsevier B.V. All rights reserved.

Address: Centre for Bioinformatics, Karpagam Academy of Higher Education, Coimbatore 641021, India; Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore 641021, India. Electronic address: [email protected].; Centre for Bioinformatics, Karpagam Academy of Higher Education, Coimbatore 641021, India; Department of Biochemistry, Karpagam Academy of Higher Education, Coimbatore 641021, India.; Centre for Bioinformatics, Karpagam Academy of Higher Education, Coimbatore 641021, India; Department of Biochemistry, Karpagam Academy of Higher Education, Coimbatore 641021, India; School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, PR China.; Department of Bioinformatics, Alagappa University, Karaikudi 630003, India.; Innovation and Incubation Centre for Health Sciences (IICHS), Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Higher Education and Research (BIHER), Chromepet 600 044, Tamil Nadu, India. Electronic address: [email protected].; Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai 602 105, Tamil Nadu, India; Faculty of Chemical Engineering & Technology and Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia; Department of Computer Science and Engineering, Faculty of Science and Information Technology, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka 1216, Bangladesh.; Department of General Surgery, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Higher Education and Research (BIHER), Chromepet, 600 044 Chennai, Tamil Nadu, India.

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