Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models-Reference-Cited by-同舟云学术

Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models

Published:2017-09-05 Issue:10 Volume:3 Page:1103-1113
ISSN:2374-7943
Container-title:ACS Central Science
language:en
Short-container-title:ACS Cent. Sci.

Author:

Liu Bowen¹^ORCID,Ramsundar Bharath²^ORCID,Kawthekar Prasad²,Shi Jade¹,Gomes Joseph¹,Luu Nguyen Quang¹,Ho Stephen¹,Sloane Jack¹,Wender Paul¹³^ORCID,Pande Vijay¹²⁴

Affiliation:

1. Department of Chemistry, Stanford University, Stanford, California 94305, United States

2. Department of Computer Science, Stanford University, Stanford, California 94305, United States

3. Department of Chemical and Systems Biology, Stanford University, Stanford, California 94305, United States

4. Department of Structural Biology, Stanford University, Stanford, California 94305, United States

Funder

Division of Chemistry

National Institute of Allergy and Infectious Diseases

American Cancer Society

Hertz Foundation

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acscentsci.7b00303

Reference59 articles.

1. GENERAL METHODS FOR THE CONSTRUCTION OF COMPLEX MOLECULES

2. Computer-Assisted Design of Complex Organic Syntheses

3. Function through Synthesis-Informed Design

4. Toward the ideal synthesis and molecular function through synthesis-informed design

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