登录 注册 会员服务 联系我们

Quantitative structure–activity relationships to predict sweet and non-sweet tastes

  • Published:2016-02-25 Issue:3 Volume:135 Page:
  • ISSN:1432-881X
  • Container-title:Theoretical Chemistry Accounts
  • language:en
  • Short-container-title:Theor Chem Acc

Author:

Rojas Cristian,Ballabio Davide,Consonni Viviana,Tripaldi Piercosimo,Mauri Andrea,Todeschini Roberto

Funder

SENESCYT and FARNESINA

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification-based machine learning approaches to predict the taste of molecules: A review;Food Research International;2023-09

2. Data-Driven Elucidation of Flavor Chemistry;Journal of Agricultural and Food Chemistry;2023-04-27

3. Premexotac: Machine learning bitterants predictor for advancing pharmaceutical development;International Journal of Pharmaceutics;2022-11

4. Development of Deep Learning approaches to predict relationships between chemical structures and sweetness;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

5. ChemTastesDB: A curated database of molecular tastants;Food Chemistry: Molecular Sciences;2022-07
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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3