Mohammad Kawsar Sharif Siam, M. Hossain, E. Kabir, Samiul Alam Rajib
{"title":"基于硅结构设计的二氢叶酸还原酶拮抗剂和靶向DHFR蛋白抑制叶酸生物合成途径的潜在小分子","authors":"Mohammad Kawsar Sharif Siam, M. Hossain, E. Kabir, Samiul Alam Rajib","doi":"10.1145/3156346.3156358","DOIUrl":null,"url":null,"abstract":"Cancer has several pathways by which it is developed in our body. Among them folic acid biosynthetic pathway is one where dihydrofolate reductase (DHFR) enzyme converts dihydrofolate into tetrahydrofolate which leads to unwanted and uncontrollable growth of tissues. Our aim of this study is to design DHFR antagonistic potential small molecules that inhibits Folic Acid Biosynthetic Pathways. In this study, Human DHFR obtained from Protein Data Bank (PDB) docked with several established anticancer drugs including Afatinib, Doxorubicin, Trimetrexate, Curcumin & Trimethoprim and several potential small molecules including Acarbose, Adenosine monophosphate, Abacavir, Aceprometazine & Isoxyl; obtained from PubChem and Drug Bank respectively. PyMOL and PyRx were used to visualize, curate and dock. For validation purpose Discovery Studio and Ramachandran Plot were run. Results after docking showed best binding affinities of established anticancer drugs with Human DHFR throughout the generations for example Methotrexate to Trimethoprim. Potential small molecules which belong from different therapeutic classes.","PeriodicalId":415207,"journal":{"name":"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"In Silico Structure Based Designing of Dihydrofolate Reductase Enzyme Antagonists and Potential Small Molecules That Target DHFR Protein to Inhibit the Folic Acid Biosynthetic Pathways\",\"authors\":\"Mohammad Kawsar Sharif Siam, M. Hossain, E. Kabir, Samiul Alam Rajib\",\"doi\":\"10.1145/3156346.3156358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cancer has several pathways by which it is developed in our body. Among them folic acid biosynthetic pathway is one where dihydrofolate reductase (DHFR) enzyme converts dihydrofolate into tetrahydrofolate which leads to unwanted and uncontrollable growth of tissues. Our aim of this study is to design DHFR antagonistic potential small molecules that inhibits Folic Acid Biosynthetic Pathways. In this study, Human DHFR obtained from Protein Data Bank (PDB) docked with several established anticancer drugs including Afatinib, Doxorubicin, Trimetrexate, Curcumin & Trimethoprim and several potential small molecules including Acarbose, Adenosine monophosphate, Abacavir, Aceprometazine & Isoxyl; obtained from PubChem and Drug Bank respectively. PyMOL and PyRx were used to visualize, curate and dock. For validation purpose Discovery Studio and Ramachandran Plot were run. Results after docking showed best binding affinities of established anticancer drugs with Human DHFR throughout the generations for example Methotrexate to Trimethoprim. Potential small molecules which belong from different therapeutic classes.\",\"PeriodicalId\":415207,\"journal\":{\"name\":\"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3156346.3156358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3156346.3156358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In Silico Structure Based Designing of Dihydrofolate Reductase Enzyme Antagonists and Potential Small Molecules That Target DHFR Protein to Inhibit the Folic Acid Biosynthetic Pathways
Cancer has several pathways by which it is developed in our body. Among them folic acid biosynthetic pathway is one where dihydrofolate reductase (DHFR) enzyme converts dihydrofolate into tetrahydrofolate which leads to unwanted and uncontrollable growth of tissues. Our aim of this study is to design DHFR antagonistic potential small molecules that inhibits Folic Acid Biosynthetic Pathways. In this study, Human DHFR obtained from Protein Data Bank (PDB) docked with several established anticancer drugs including Afatinib, Doxorubicin, Trimetrexate, Curcumin & Trimethoprim and several potential small molecules including Acarbose, Adenosine monophosphate, Abacavir, Aceprometazine & Isoxyl; obtained from PubChem and Drug Bank respectively. PyMOL and PyRx were used to visualize, curate and dock. For validation purpose Discovery Studio and Ramachandran Plot were run. Results after docking showed best binding affinities of established anticancer drugs with Human DHFR throughout the generations for example Methotrexate to Trimethoprim. Potential small molecules which belong from different therapeutic classes.