Ahmad Makkawi, Wiktor Beker, Agnieszka Wolos, Sabyasachi Manna, Rafal Roszak, Sara Szymkuc, Martyna Moskal, Aleksei Koshevarnikov, Karol Molga, Anna Zadlo, Bartosz Andrzej Grzybowski
{"title":"Retro-forward synthesis design and experimental validation of potent structural analogs of known drugs","authors":"Ahmad Makkawi, Wiktor Beker, Agnieszka Wolos, Sabyasachi Manna, Rafal Roszak, Sara Szymkuc, Martyna Moskal, Aleksei Koshevarnikov, Karol Molga, Anna Zadlo, Bartosz Andrzej Grzybowski","doi":"10.1039/d5sc00070j","DOIUrl":null,"url":null,"abstract":"Generation of structural analogs to “parent” molecule(s) of interest remains one of the important elements of drug development. Ideally, such analogs should be synthesizable by concise and robust synthetic routes. The current work illustrates how this process can be facilitated by a computational pipeline spanning (i) diversification of the parent via bioisosteric replacements, (ii) retrosynthesis of the thus generated “replicas” to identify substrates, (iii) forward syntheses originating from these substrates (and synthetically versatile “auxiliaries”) and guided “towards” the parent, and (iv) evaluation of the candidates for target binding and other medicinal-chemical properties. This pipeline proposes syntheses to thousands of readily makeable analogs in a matter of minutes, and is deployed here to validate by experiment seven structural analogs of Ketoprofen and six analogs of Donepezil. The concise, computer-designed syntheses are confirmed in 12 out of 13 cases, offering access to several potent inhibitors. While the synthesis-design component is robust, binding affinities are predicted less accurately although still to the order-of-magnitude, which may be valuable in discerning promising from inadequate binders.","PeriodicalId":9909,"journal":{"name":"Chemical Science","volume":"8 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Science","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d5sc00070j","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Generation of structural analogs to “parent” molecule(s) of interest remains one of the important elements of drug development. Ideally, such analogs should be synthesizable by concise and robust synthetic routes. The current work illustrates how this process can be facilitated by a computational pipeline spanning (i) diversification of the parent via bioisosteric replacements, (ii) retrosynthesis of the thus generated “replicas” to identify substrates, (iii) forward syntheses originating from these substrates (and synthetically versatile “auxiliaries”) and guided “towards” the parent, and (iv) evaluation of the candidates for target binding and other medicinal-chemical properties. This pipeline proposes syntheses to thousands of readily makeable analogs in a matter of minutes, and is deployed here to validate by experiment seven structural analogs of Ketoprofen and six analogs of Donepezil. The concise, computer-designed syntheses are confirmed in 12 out of 13 cases, offering access to several potent inhibitors. While the synthesis-design component is robust, binding affinities are predicted less accurately although still to the order-of-magnitude, which may be valuable in discerning promising from inadequate binders.
期刊介绍:
Chemical Science is a journal that encompasses various disciplines within the chemical sciences. Its scope includes publishing ground-breaking research with significant implications for its respective field, as well as appealing to a wider audience in related areas. To be considered for publication, articles must showcase innovative and original advances in their field of study and be presented in a manner that is understandable to scientists from diverse backgrounds. However, the journal generally does not publish highly specialized research.