Exploring Binding Sites in Chagas Disease Protein TcP21 Using Integrated Mixed Solvent Molecular Dynamics Approaches.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
William Oliveira Soté, Moacyr Comar Junior
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引用次数: 0

Abstract

Chagas disease, caused by the protozoan Trypanosoma cruzi, remains a significant global health burden, particularly in Latin America, where millions are at risk. This disease predominantly affects socioeconomically vulnerable populations, aggravating economic inequality, marginalization, and low political visibility. Despite extensive research, effective treatments are still lacking, partly due to the complex biology of the parasite and its infection mechanisms. This study focuses on TcP21, a novel 21 kDa protein secreted by extracellular amastigotes, which has been implicated in T. cruzi infection via an alternative infective pathway. Although the potential of TcP21 for understanding Chagas disease is promising, further exploration is necessary, particularly in identifying potential binding sites on its surface. Computational tools offer a versatile and effective strategy for preliminary binding site assessment, facilitating a more cost-efficient allocation of experimental resources. In this study, we employed three independent computational approaches─mixed solvent molecular dynamics simulations (MSMD), fragment-based molecular docking, and pharmacophore model docking coupled with molecular dynamics simulations─to identify potential binding sites and provide comprehensive insights into TcP21. The three methodologies converged on a common site located on the external surface of the protein, characterized by key residues such as GLU55, ASP52, VAL70, ILE62, and TRP77. The protonated amino, acetamido, and phenyl groups of the pharmacophore probe were consistently observed to interact with the site via a network of salt bridges, hydrogen bonds, charge-charge interactions, and alkyl-π interactions, suggesting these groups play a significant role in ligand binding. This study does not aim to propose specific therapeutic hits but to highlight a still unknown and unexplored protein involved in T. cruzi cell invasion. In this regard, given the strong correlation between the three distinct approaches used for mapping, we consider this study offers valuable insights for further research into P21 and its role in Chagas disease.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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