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Yingchun Cai

dblp:183/3439 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-5058-5308ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › drug discovery
ADMET prediction		 0.412019
admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties · Bioinform. 2019
Bioinformatics and computational biology › molecular informatics
cheminformatics		 0.412019
admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties · Bioinform. 2019
Bioinformatics and computational biology › drug discovery › molecular optimization
lead optimization		 0.412019
admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

predictive modeling · 0.4machine learning · 0.4
YearPublicationVenuePosition
2019 admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties
abstract
SUMMARY: admetSAR was developed as a comprehensive source and free tool for the prediction of chemical ADMET properties. Since its first release in 2012 containing 27 predictive models, admetSAR has been widely used in chemical and pharmaceutical fields. This update, admetSAR 2.0, focuses on extension and optimization of existing models with significant quantity and quality improvement on training data. Now 47 models are available for either drug discovery or environmental risk assessment. In addition, we added a new module named ADMETopt for lead optimization based on predicted ADMET properties. AVAILABILITY AND IMPLEMENTATION: Free available on the web at http://lmmd.ecust.edu.cn/admetsar2/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Hongbin Yang 0002, Chaofeng Lou, Lixia Sun, Yingchun Cai, Weihua Li 0005, Guixia Liu, Yun Tang 0001
 Bioinform.5