VLDB 2026 Research / reviewers in the wild / expert
Chi-Yu Shao
dblp:141/3121
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 50% Computational science and engineering · 50% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › drug discovery
drug metabolism prediction |
0.2 | 1 | 2015 | CypRules: a rule-based P450 inhibition prediction server · Bioinform. 2015 |
Computational science and engineering › pattern recognition
rule-based classification |
0.2 | 1 | 2015 | CypRules: a rule-based P450 inhibition prediction server · Bioinform. 2015 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
rule-based reasoning |
0.1 | 1 | 2015 | CypRules: a rule-based P450 inhibition prediction server · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
c5.0 algorithm · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | CypRules: a rule-based P450 inhibition prediction serverabstractUNLABELLED: Cytochrome P450 (CYPs) are the major enzymes involved in drug metabolism and bioactivation. Inhibition models were constructed for five of the most popular enzymes from the CYP superfamily in human liver. The five enzymes chosen for this study, namely CYP1A2, CYP2D6, CYP2C19, CYP2C9 and CYP3A4, account for 90% of the xenobiotic and drug metabolism in human body. CYP enzymes can be inhibited or induced by various drugs or chemical compounds. In this work, a rule-based CYP inhibition prediction online server, CypRules, was created based on predictive models generated by the rule-based C5.0 algorithm. CypRules can predict and provide structural rulesets for CYP inhibition for each compound uploaded to the server. Capable of fast execution performance, it can be used for virtual high-throughput screening (VHTS) of a large set of testing compounds. AVAILABILITY AND IMPLEMENTATION: CypRules is freely accessible at http://cyprules.cmdm.tw/ and models, descriptor and program files for all compounds are publically available at http://cyprules.cmdm.tw/sources/sources.rar. Chi-Yu Shao, Bo-Han Su, Yi-shu Tu, Chieh Lin, Olivia A. Lin, Yufeng J. Tseng |
Bioinform. | 1 |