Search Results for author: Mark P. Waller

Found 4 papers, 1 papers with code

Learning to Plan Chemical Syntheses

no code implementations14 Aug 2017 Marwin H. S. Segler, Mike Preuss, Mark P. Waller

We anticipate that our method will accelerate drug and materials discovery by assisting chemists to plan better syntheses faster, and by enabling fully automated robot synthesis.

Retrosynthesis

Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies

no code implementations31 Jan 2017 Marwin Segler, Mike Preuß, Mark P. Waller

Retrosynthesis is a technique to plan the chemical synthesis of organic molecules, for example drugs, agro- and fine chemicals.

Retrosynthesis

Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks

5 code implementations5 Jan 2017 Marwin H. S. Segler, Thierry Kogej, Christian Tyrchan, Mark P. Waller

In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target.

Drug Discovery

Modelling Chemical Reasoning to Predict Reactions

no code implementations25 Aug 2016 Marwin H. S. Segler, Mark P. Waller

The ability to reason beyond established knowledge allows Organic Chemists to solve synthetic problems and to invent novel transformations.

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