We demonstrate molecular similarity to be a surprisingly effective metric for proposing and ranking one-step retrosynthetic disconnections based on analogy to precedent reactions. The developed approach mimics the retrosynthetic strategy defined implicitly by a corpus of known reactions without the need to encode any chemical knowledge. Using 40 000 reactions from the patent literature as a knowledge base, the recorded reactants are among the top 10 proposed precursors in 74.1% of 5000 test reactions, providing strong quantitative support for our methodology. Extension of the one-step strategy to multistep pathway planning is demonstrated and discussed for two exemplary drug products
Teaching computers to plan multistep syntheses of arbitrary target molecules-including natural produ...
Background Synthetic biology is used to develop cell factories for production of chemicals by constr...
We present an attention-based Transformer model for automatic retrosynthesis route planning. Our app...
We demonstrate molecular similarity to be a surprisingly effective metric for proposing and ranking ...
By keeping track of lists of specific bonds one wishes to preserve, a computer program is able to id...
Abstract The need for synthetic route design arises frequently in discovery-oriented chemistry organ...
Identifying synthetic routes for molecules of interest is a crucial step when discovering new drugs ...
In this Perspective, the value of small molecule natural products (SMNPs) in the discovery of active...
Chemical synthesis planning is a key aspect in many fields of chemistry, especially drug discovery. ...
Chemical synthesis is a powerful tool for human being as it provides many useful products, especiall...
The planning of how to synthesize molecules, also known as retrosynthesis, has been a growing focus ...
We present an extension of our Molecular Transformer model combined with a hyper-graph exploration s...
Abstract Retrosynthesis is at the core of organic chemistry. Recently, the rapid gr...
Computer-aided synthesis planning (CASP) aims to automatically learn organic reactivity from literat...
Retrosynthesis is the task of proposing a series of chemical reactions to create a desired molecule ...
Teaching computers to plan multistep syntheses of arbitrary target molecules-including natural produ...
Background Synthetic biology is used to develop cell factories for production of chemicals by constr...
We present an attention-based Transformer model for automatic retrosynthesis route planning. Our app...
We demonstrate molecular similarity to be a surprisingly effective metric for proposing and ranking ...
By keeping track of lists of specific bonds one wishes to preserve, a computer program is able to id...
Abstract The need for synthetic route design arises frequently in discovery-oriented chemistry organ...
Identifying synthetic routes for molecules of interest is a crucial step when discovering new drugs ...
In this Perspective, the value of small molecule natural products (SMNPs) in the discovery of active...
Chemical synthesis planning is a key aspect in many fields of chemistry, especially drug discovery. ...
Chemical synthesis is a powerful tool for human being as it provides many useful products, especiall...
The planning of how to synthesize molecules, also known as retrosynthesis, has been a growing focus ...
We present an extension of our Molecular Transformer model combined with a hyper-graph exploration s...
Abstract Retrosynthesis is at the core of organic chemistry. Recently, the rapid gr...
Computer-aided synthesis planning (CASP) aims to automatically learn organic reactivity from literat...
Retrosynthesis is the task of proposing a series of chemical reactions to create a desired molecule ...
Teaching computers to plan multistep syntheses of arbitrary target molecules-including natural produ...
Background Synthetic biology is used to develop cell factories for production of chemicals by constr...
We present an attention-based Transformer model for automatic retrosynthesis route planning. Our app...