{"title":"Insights from computational studies about structural determinants of steroidal inhibitors in 5-alpha-reductase type II","authors":"Elkin Sanabria-Chanaga , Edwin L. Bonilla-Rozo","doi":"10.1016/j.compbiolchem.2025.108446","DOIUrl":null,"url":null,"abstract":"<div><div>5-alpha-reductase type II (5αR2) is an important protein involved in the reduction of testosterone to dihydrotestosterone, a product that promotes prostate growth and can lead to conditions such as prostate cancer and benign prostatic hyperplasia. This study presents a computational analysis of steroidal compounds with close structural relationships but notable differences in their biological activity. A set of molecules with reported half-maximal inhibitory concentrations, obtained under consistent conditions, was selected, and molecular docking and molecular dynamics simulations were performed. Considering the covalent inhibition mechanism of this protein, key atomic distances, root mean square deviations, and binding free energy were investigated to explain the significant differences in biological activity. The data suggest that the key to inhibitory capacity lies in the conformation that optimally facilitates bond formation between the NADPH cofactor and the α,β-unsaturated system of the inhibitors within the 5αR2 pocket. Considering that the protein pocket is rich in hydrophobic residues, introducing an atom such as fluorine, which increases the hydrophobicity of the ligand, may alter the favorable conformation within the pocket. This, in turn, could compromise the ability of the ligand to form a covalent bond with NADPH. Given the covalent nature of the inhibition mechanism, stability within the catalytic site plays a secondary role. Understanding these structural features is crucial for designing new potential 5αR2 inhibitors, particularly steroidal compounds, that aim to leverage a covalent mechanism of inhibition.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"118 ","pages":"Article 108446"},"PeriodicalIF":2.6000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125001069","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
5-alpha-reductase type II (5αR2) is an important protein involved in the reduction of testosterone to dihydrotestosterone, a product that promotes prostate growth and can lead to conditions such as prostate cancer and benign prostatic hyperplasia. This study presents a computational analysis of steroidal compounds with close structural relationships but notable differences in their biological activity. A set of molecules with reported half-maximal inhibitory concentrations, obtained under consistent conditions, was selected, and molecular docking and molecular dynamics simulations were performed. Considering the covalent inhibition mechanism of this protein, key atomic distances, root mean square deviations, and binding free energy were investigated to explain the significant differences in biological activity. The data suggest that the key to inhibitory capacity lies in the conformation that optimally facilitates bond formation between the NADPH cofactor and the α,β-unsaturated system of the inhibitors within the 5αR2 pocket. Considering that the protein pocket is rich in hydrophobic residues, introducing an atom such as fluorine, which increases the hydrophobicity of the ligand, may alter the favorable conformation within the pocket. This, in turn, could compromise the ability of the ligand to form a covalent bond with NADPH. Given the covalent nature of the inhibition mechanism, stability within the catalytic site plays a secondary role. Understanding these structural features is crucial for designing new potential 5αR2 inhibitors, particularly steroidal compounds, that aim to leverage a covalent mechanism of inhibition.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.