{"title":"基于 E-pharmacophore 的囊性纤维化强效先导分子虚拟筛选:硅学研究","authors":"Sabareeswari Jeyaraman , Jeyanthi Sankar , Ling Shing Wong , Karthikeyan Muthusamy","doi":"10.1016/j.compbiolchem.2024.108249","DOIUrl":null,"url":null,"abstract":"<div><div>Cystic fibrosis is an autosomal recessive condition caused by mutations in the CFTR gene, which encodes the CFTR protein. Currently, CF is a life-limiting illness that has a limited cure. The present study aimed to identify top leads against CFTR protein with F508del in comparison with Lumacaftor. In this study, a homology model of the NBD domain of CFTR protein was developed using the available NBD domain crystal structure. The protein model was refined through apo dynamics. Energy-optimized pharmacophore mapping was carried out to identify essential features for CFTR, resulting in a model with a hydrogen-bond donor, two hydrogen-bond acceptors, and three aromatic ring sites. A screening of a compound from the NPASS database using these DAARRR six-point-pharmacophore features led to the identification of potential ligands that could act against CFTR protein. Further studies such as ADME/T, molecular dynamics, MM_GBSA, and DFT were performed to identify the top-hit compound from the NPASS database. The compound Anguibactin (NPC41982) has been identified as a top lead that exhibits higher binding affinity and stability than the reference compound Lumacaftor, suggesting their potential to bind to the active site of the CFTR protein. These compounds could serve as starting points for the development of drug-like molecules for treating cystic fibrosis.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"113 ","pages":"Article 108249"},"PeriodicalIF":2.6000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"E-pharmacophore based virtual screening of potent lead molecules against Cystic Fibrosis: An in silico study\",\"authors\":\"Sabareeswari Jeyaraman , Jeyanthi Sankar , Ling Shing Wong , Karthikeyan Muthusamy\",\"doi\":\"10.1016/j.compbiolchem.2024.108249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cystic fibrosis is an autosomal recessive condition caused by mutations in the CFTR gene, which encodes the CFTR protein. Currently, CF is a life-limiting illness that has a limited cure. The present study aimed to identify top leads against CFTR protein with F508del in comparison with Lumacaftor. In this study, a homology model of the NBD domain of CFTR protein was developed using the available NBD domain crystal structure. The protein model was refined through apo dynamics. Energy-optimized pharmacophore mapping was carried out to identify essential features for CFTR, resulting in a model with a hydrogen-bond donor, two hydrogen-bond acceptors, and three aromatic ring sites. A screening of a compound from the NPASS database using these DAARRR six-point-pharmacophore features led to the identification of potential ligands that could act against CFTR protein. Further studies such as ADME/T, molecular dynamics, MM_GBSA, and DFT were performed to identify the top-hit compound from the NPASS database. The compound Anguibactin (NPC41982) has been identified as a top lead that exhibits higher binding affinity and stability than the reference compound Lumacaftor, suggesting their potential to bind to the active site of the CFTR protein. These compounds could serve as starting points for the development of drug-like molecules for treating cystic fibrosis.</div></div>\",\"PeriodicalId\":10616,\"journal\":{\"name\":\"Computational Biology and Chemistry\",\"volume\":\"113 \",\"pages\":\"Article 108249\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-10-12\",\"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/S1476927124002378\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927124002378","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
E-pharmacophore based virtual screening of potent lead molecules against Cystic Fibrosis: An in silico study
Cystic fibrosis is an autosomal recessive condition caused by mutations in the CFTR gene, which encodes the CFTR protein. Currently, CF is a life-limiting illness that has a limited cure. The present study aimed to identify top leads against CFTR protein with F508del in comparison with Lumacaftor. In this study, a homology model of the NBD domain of CFTR protein was developed using the available NBD domain crystal structure. The protein model was refined through apo dynamics. Energy-optimized pharmacophore mapping was carried out to identify essential features for CFTR, resulting in a model with a hydrogen-bond donor, two hydrogen-bond acceptors, and three aromatic ring sites. A screening of a compound from the NPASS database using these DAARRR six-point-pharmacophore features led to the identification of potential ligands that could act against CFTR protein. Further studies such as ADME/T, molecular dynamics, MM_GBSA, and DFT were performed to identify the top-hit compound from the NPASS database. The compound Anguibactin (NPC41982) has been identified as a top lead that exhibits higher binding affinity and stability than the reference compound Lumacaftor, suggesting their potential to bind to the active site of the CFTR protein. These compounds could serve as starting points for the development of drug-like molecules for treating cystic fibrosis.
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.