Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Wen Torng"'
Autor:
Wen Torng, Ilaria Biancofiore, Sebastian Oehler, Jin Xu, Jessica Xu, Ian Watson, Brenno Masina, Luca Prati, Nicholas Favalli, Gabriele Bassi, Dario Neri, Samuele Cazzamalli, Jianwen A. Feng
Publikováno v:
ACS Omega, Vol 8, Iss 28, Pp 25090-25100 (2023)
Externí odkaz:
https://doaj.org/article/0d6aaf5a697c4856b4e874e86c014835
Autor:
Wen Torng, Russ B. Altman
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-23 (2017)
Abstract Background Central to protein biology is the understanding of how structural elements give rise to observed function. The surfeit of protein structural data enables development of computational methods to systematically derive rules governin
Externí odkaz:
https://doaj.org/article/abe1a9a38990419698a264ce5e691be4
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e89767 (2014)
Microenvironment stiffening plays a crucial role in tumorigenesis. While filopodia are generally thought to be one of the cellular mechanosensors for probing environmental stiffness, the effects of environmental stiffness on filopodial activities of
Externí odkaz:
https://doaj.org/article/4e52ca830d844c0c966cdbd13fd91212
Autor:
Wen Torng, Ilaria Biancofiore, Sebastian Oehler, Jin Xu, Jessica Xu, Ian Watson, Brenno Masina, Luca Prati, Nicholas Favalli, Gabriele Bassi, Dario Neri, Samuele Cazzamalli, Jianwen A. Feng
DNA-Encoded Chemical Libraries (DELs) emerged as efficient and cost-effective ligand discovery tools, which enable the generation of protein-ligand interaction data of unprecedented size. In this article, we present an approach that combines DEL scre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f252f9e378ac42763fc66b623f6442
https://doi.org/10.1101/2023.01.25.525453
https://doi.org/10.1101/2023.01.25.525453
Autor:
Wen Torng, Russ B. Altman
Publikováno v:
Journal of Chemical Information and Modeling. 59:4131-4149
Accurate determination of target-ligand interactions is crucial in the drug discovery process. In this paper, we propose a two-staged graph-convolutional (Graph-CNN) framework for predicting protein-ligand interactions. We first describe an unsupervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::967235a4b083bf8db21abddf1e46b036
https://doi.org/10.1021/acs.jcim.9b00628
https://doi.org/10.1021/acs.jcim.9b00628
Autor:
Russ B. Altman, Wen Torng
Publikováno v:
Bioinformatics
Motivation Accurate annotation of protein functions is fundamental for understanding molecular and cellular physiology. Data-driven methods hold promise for systematically deriving rules underlying the relationship between protein structure and funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e58731974757b96e7f61d61173b4d6
https://doi.org/10.1093/bioinformatics/bty813
https://doi.org/10.1093/bioinformatics/bty813
Publikováno v:
Drug Discovery Today. 23:1538-1546
Chemoinformatics is an established discipline focusing on extracting, processing and extrapolating meaningful data from chemical structures. With the rapid explosion of chemical 'big' data from HTS and combinatorial synthesis, machine learning has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e678e6d26081cbd1986dbf2bf9067b8
https://doi.org/10.1016/j.drudis.2018.05.010
https://doi.org/10.1016/j.drudis.2018.05.010
Autor:
Russ B. Altman, Wen Torng
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-23 (2017)
BMC Bioinformatics
BMC Bioinformatics
Background Central to protein biology is the understanding of how structural elements give rise to observed function. The surfeit of protein structural data enables development of computational methods to systematically derive rules governing structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2ad13752a8f81ba176c89a64385e1f2
http://link.springer.com/article/10.1186/s12859-017-1702-0
http://link.springer.com/article/10.1186/s12859-017-1702-0
Autor:
Aleix Lafita, David Neil Cooper, Matthew Mort, Tianyun Liu, Spencer Bliven, Sean D. Mooney, Guido Capitani, Christian Bock, Russ B. Altman, Wen Torng, Shirbi Ish-Shalom
Publikováno v:
Proteins
Proteins: Structure, Function and Bioinformatics, 86 (S1)
Proteins: Structure, Function and Bioinformatics, 86 (S1)
Our goal is to answer the question: compared with experimental structures, how useful are predicted models for functional annotation? We assessed the functional utility of predicted models by comparing the performances of a suite of methods for funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33fa9f0d261a9671c7cab53f6ab641bb
https://orca.cardiff.ac.uk/id/eprint/105491/1/Liu_et_al-2017-Proteins-_Structure,_Function,_and_Bioinformatics.pdf
https://orca.cardiff.ac.uk/id/eprint/105491/1/Liu_et_al-2017-Proteins-_Structure,_Function,_and_Bioinformatics.pdf
Autor:
Hwang, Wen-Torng, 黃文通
102
Due to the new effluent standards for optoelectronic material and element manufacturing industry on 12 Oct. 2012, NH4+-N and many other items is going to be included in Science Park Sewage Effluent Standards and charging fee. This study anal
Due to the new effluent standards for optoelectronic material and element manufacturing industry on 12 Oct. 2012, NH4+-N and many other items is going to be included in Science Park Sewage Effluent Standards and charging fee. This study anal
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/82853648795285255221