Diego García Jiménez, M. Rossi Sebastiano, G. Caron, G. Ermondi
{"title":"我们准备好设计口服PROTACs®了吗?","authors":"Diego García Jiménez, M. Rossi Sebastiano, G. Caron, G. Ermondi","doi":"10.5599/admet.1037","DOIUrl":null,"url":null,"abstract":"PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology of protein degradation deals with large and complex chemical structures, the second part of the paper focuses on how to set up a property-based design strategy to obtain oral degraders. For this purpose, we calculated a pool of seven previously ad hoc selected 2D descriptors for the 2258 publicly available degraders in PROTAC-DB (average values: MW= 972.9 Da, nC= 49.5, NAR= 4.5, PHI= 17.3, nHDon= 4.5, nHAcc= 17.7 and TPSA= 240 Å2) and compared them to a dataset of 50 bRo5 orally approved drugs. Then, a chemical space based on nC, PHI and TPSA was built and subregions with optimal permeability and bioavailability were identified. Bioavailable degraders (ARV-110 and ARV-471) tend to be closer to the Ro5 region, using mainly semi-rigid linkers. Permeable degraders, on the other hand, are placed in an average central region of the chemical space but chameleonicity could allow them to be located closer to the two Arvinas compounds.","PeriodicalId":7259,"journal":{"name":"ADMET and DMPK","volume":"16 1","pages":"243 - 254"},"PeriodicalIF":3.4000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Are we ready to design oral PROTACs®?\",\"authors\":\"Diego García Jiménez, M. Rossi Sebastiano, G. Caron, G. Ermondi\",\"doi\":\"10.5599/admet.1037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology of protein degradation deals with large and complex chemical structures, the second part of the paper focuses on how to set up a property-based design strategy to obtain oral degraders. For this purpose, we calculated a pool of seven previously ad hoc selected 2D descriptors for the 2258 publicly available degraders in PROTAC-DB (average values: MW= 972.9 Da, nC= 49.5, NAR= 4.5, PHI= 17.3, nHDon= 4.5, nHAcc= 17.7 and TPSA= 240 Å2) and compared them to a dataset of 50 bRo5 orally approved drugs. Then, a chemical space based on nC, PHI and TPSA was built and subregions with optimal permeability and bioavailability were identified. Bioavailable degraders (ARV-110 and ARV-471) tend to be closer to the Ro5 region, using mainly semi-rigid linkers. Permeable degraders, on the other hand, are placed in an average central region of the chemical space but chameleonicity could allow them to be located closer to the two Arvinas compounds.\",\"PeriodicalId\":7259,\"journal\":{\"name\":\"ADMET and DMPK\",\"volume\":\"16 1\",\"pages\":\"243 - 254\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2021-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ADMET and DMPK\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5599/admet.1037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ADMET and DMPK","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5599/admet.1037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
PROTACs® are expected to strongly impact the future of drug discovery. Therefore, in this work we firstly performed a statistical study to highlight the distribution of E3 ligases and POIs collected in PROTAC-DB, the main online database focused on degraders. Moreover, since the emerging technology of protein degradation deals with large and complex chemical structures, the second part of the paper focuses on how to set up a property-based design strategy to obtain oral degraders. For this purpose, we calculated a pool of seven previously ad hoc selected 2D descriptors for the 2258 publicly available degraders in PROTAC-DB (average values: MW= 972.9 Da, nC= 49.5, NAR= 4.5, PHI= 17.3, nHDon= 4.5, nHAcc= 17.7 and TPSA= 240 Å2) and compared them to a dataset of 50 bRo5 orally approved drugs. Then, a chemical space based on nC, PHI and TPSA was built and subregions with optimal permeability and bioavailability were identified. Bioavailable degraders (ARV-110 and ARV-471) tend to be closer to the Ro5 region, using mainly semi-rigid linkers. Permeable degraders, on the other hand, are placed in an average central region of the chemical space but chameleonicity could allow them to be located closer to the two Arvinas compounds.
期刊介绍:
ADMET and DMPK is an open access journal devoted to the rapid dissemination of new and original scientific results in all areas of absorption, distribution, metabolism, excretion, toxicology and pharmacokinetics of drugs. ADMET and DMPK publishes the following types of contributions: - Original research papers - Feature articles - Review articles - Short communications and Notes - Letters to Editors - Book reviews The scope of the Journal involves, but is not limited to, the following areas: - physico-chemical properties of drugs and methods of their determination - drug permeabilities - drug absorption - drug-drug, drug-protein, drug-membrane and drug-DNA interactions - chemical stability and degradations of drugs - instrumental methods in ADMET - drug metablic processes - routes of administration and excretion of drug - pharmacokinetic/pharmacodynamic study - quantitative structure activity/property relationship - ADME/PK modelling - Toxicology screening - Transporter identification and study