Evaluating Molecular Complexity with Open-Source Machine Learning Approaches to Predict Process Mass Intensity-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evaluating Molecular Complexity with Open-Source Machine Learning Approaches to Predict Process Mass Intensity

Published:2024-06-24 Issue:26 Volume:9 Page:28476-28484
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Tin Nicole¹^ORCID,Chauhan Mandeep²,Agwamba Kennedy¹,Sun Yibai³,Parsons Astrid⁴,Payne Philippa⁵,Osan Remus¹

Affiliation:

1. Analytical Sciences, Gilead Sciences Inc, Foster City, California 94404-1147, United States

2. Global Quality Control Systems, Gilead Sciences Inc, Foster City, California 94404-1147, United States

3. Process Development, Gilead Alberta ULC, Edmonton, Alberta T6S 1A1, Canada

4. Process Development, Gilead Sciences Inc, Foster City, California 94404-1147, United States

5. Global External Manufacturing, Gilead Alberta ULC, Edmonton, Alberta T6S 1A1, Canada

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02427

Reference37 articles.

1. Using the Right Green Yardstick: Why Process Mass Intensity Is Used in the Pharmaceutical Industry To Drive More Sustainable Processes

2. Driving Aspirational Process Mass Intensity Using Simple Structure-Based Prediction

3. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

4. SCScore: Synthetic Complexity Learned from a Reaction Corpus

5. Molecular Complexity Analysis of de Novo Designed Ligands

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP