Generating Multibillion Chemical Space of Readily Accessible Screening Compounds
An approach to the generation of ultra-large chemical libraries of readily accessible (“REAL”) compounds is described. The strategy is based on the use of two- or three-step three-component reaction sequences and available starting materials with pre-validated chemical reactivity. After the prelimin...
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          | Published in | iScience Vol. 23; no. 11; p. 101681 | 
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| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          Elsevier Inc
    
        20.11.2020
     Elsevier  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2589-0042 2589-0042  | 
| DOI | 10.1016/j.isci.2020.101681 | 
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| Summary: | An approach to the generation of ultra-large chemical libraries of readily accessible (“REAL”) compounds is described. The strategy is based on the use of two- or three-step three-component reaction sequences and available starting materials with pre-validated chemical reactivity. After the preliminary parallel experiments, the methods with at least ∼80% synthesis success rate (such as acylation – deprotection – acylation of monoprotected diamines or amide formation – click reaction with functionalized azides) can be selected and used to generate the target chemical space. It is shown that by using only on the two aforementioned reaction sequences, a nearly 29-billion compound library is easily obtained. According to the predicted physico-chemical descriptor values, the generated chemical space contains large fractions of both drug-like and “beyond rule-of-five” members, whereas the strictest lead-likeness criteria (the so-called Churcher's rules) are met by the lesser part, which still exceeds 22 million.
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•A strategy for ultra-large readily accessible (REAL) compound libraries is described•Pre-validated two- or three-step three-component reaction sequences are used•A 29-billion chemical space with ∼80% synthesis success rate has been easily obtained
Chemical Compound; Cheminformatics; Computational Chemistry by Subject | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Lead Contact  | 
| ISSN: | 2589-0042 2589-0042  | 
| DOI: | 10.1016/j.isci.2020.101681 |