Classification of multi-family enzymes by multi-label machine learning and sequence-based descriptors-Reference-Cited by-同舟云学术

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Classification of multi-family enzymes by multi-label machine learning and sequence-based descriptors

Published:2014-06-17 Issue:17 Volume:6 Page:6832
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Wang Yuelong,Jing Runyu,Hua Yongpan,Fu Yuanyuan,Dai Xu,Huang Liqiu,Li Menglong

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/AY/C4AY01240B

Reference58 articles.

1. Surface plasmon resonance imaging of the enzymatic degradation of cellulose microfibrils

2. Platinum/graphene functionalized by PDDA as a novel enzyme carrier for hydrogen peroxide biosensor

3. Substituents on Etoposide That Interact with Human Topoisomerase IIα in the Binary Enzyme−Drug Complex: Contributions to Etoposide Binding and Activity

4. Identification of human prostaglandin E synthase: A microsomal, glutathione-dependent, inducible enzyme, constituting a potential novel drug target

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