Keyword search (4,163 papers available)

"Wu M" Authored Publications:

Title Authors PubMed ID
1 Risks of per- and polyfluoroalkyl substance exposure through marine fish consumption Qiu W; Yang G; Cao L; Niu S; Li Y; Fang D; Dong Z; Magnuson JT; Schlenk D; Leung KMY; Zheng Y; Zeng Z; Feng L; Zhang X; Zhang Y; Fan W; Huang T; Ma J; Wu M; Tao S; Zheng C; 41411415
CHEMBIOCHEM
2 Two-dimensional Nanosheets by Liquid Metal Exfoliation Bai Y; Xu Y; Sun L; Ward Z; Wang H; Ratnayake G; Wang C; Zhao M; He H; Gao J; Wu M; Lu S; Bepete G; Peng D; Liu B; Kang F; Terrones H; Terrones M; Lei Y; 39707650
PHYSICS
3 In situ electrochemical recomposition of decomposed redox-active species in aqueous organic flow batteries Jing Y; Zhao EW; Goulet MA; Bahari M; Fell EM; Jin S; Davoodi A; Jónsson E; Wu M; Grey CP; Gordon RG; Aziz MJ; 35710986
ENCS
4 Dehydroepiandrosterone impacts working memory by shaping cortico-hippocampal structural covariance during development. Nguyen TV, Wu M, Lew J, Albaugh MD, Botteron KN, Hudziak JJ, Fonov VS, Collins DL, Campbell BC, Booij L, Herba C, Monnier P, Ducharme S, McCracken JT 28946055
PSYCHOLOGY
5 mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. Strasser K, McDonnell E, Nyaga C, Wu M, Wu S, Almeida H, Meurs MJ, Kosseim L, Powlowski J, Butler G, Tsang A 25754864
CSFG

 

Title:mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.
Authors:Strasser KMcDonnell ENyaga CWu MWu SAlmeida HMeurs MJKosseim LPowlowski JButler GTsang A
Link:https://www.ncbi.nlm.nih.gov/pubmed/25754864?dopt=Abstract
DOI:10.1093/database/bav008
Publication:Database : the journal of biological databases and curation
Keywords:
PMID:25754864 Category:Database (Oxford) Date Added:2019-06-07
Dept Affiliation: CSFG
1 Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA.
2 Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA.
3 Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA gregb@encs.concordia.ca.

Description:

mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.

Database (Oxford). 2015;2015:

Authors: Strasser K, McDonnell E, Nyaga C, Wu M, Wu S, Almeida H, Meurs MJ, Kosseim L, Powlowski J, Butler G, Tsang A

Abstract

Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of these enzymes, spurring fungal genome sequencing efforts to identify and catalogue the genes that encode them. To facilitate the functional annotation of these genes, biochemical data on over 800 fungal lignocellulose-degrading enzymes have been collected from the literature and organized into the searchable database, mycoCLAP (http://mycoclap.fungalgenomics.ca). First implemented in 2011, and updated as described here, mycoCLAP is capable of ranking search results according to closest biochemically characterized homologues: this improves the quality of the annotation, and significantly decreases the time required to annotate novel sequences. The database is freely available to the scientific community, as are the open source applications based on natural language processing developed to support the manual curation of mycoCLAP. Database URL: http://mycoclap.fungalgenomics.ca.

PMID: 25754864 [PubMed - indexed for MEDLINE]





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