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Tao-wei Huang

dblp:80/7456 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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 · 67% Computational science and engineering · 33%

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

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational chemistry
0.212013
RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules · Bioinform. 2013
Bioinformatics and computational biology › drug discovery
drug metabolism prediction
0.212013
RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules · Bioinform. 2013
Bioinformatics and computational biology › drug discovery › drug metabolism prediction
site of metabolism prediction
0.212013
RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules · Bioinform. 2013

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

machine learning · 0.2
YearPublicationVenuePosition
2013 RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules
abstract
SUMMARY: Regioselectivity-WebPredictor (RS-WebPredictor) is a server that predicts isozyme-specific cytochrome P450 (CYP)-mediated sites of metabolism (SOMs) on drug-like molecules. Predictions may be made for the promiscuous 2C9, 2D6 and 3A4 CYP isozymes, as well as CYPs 1A2, 2A6, 2B6, 2C8, 2C19 and 2E1. RS-WebPredictor is the first freely accessible server that predicts the regioselectivity of the last six isozymes. Server execution time is fast, taking on average 2s to encode a submitted molecule and 1s to apply a given model, allowing for high-throughput use in lead optimization projects. AVAILABILITY: RS-WebPredictor is accessible for free use at http://reccr.chem.rpi.edu/Software/RS-WebPredictor/
Jed Zaretzki, Charles Bergeron, Tao-wei Huang, Patrik Rydberg, Sanjay Joshua Swamidass, Curt M. Breneman
Bioinform.3