Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lewis, Moffat"'
Publikováno v:
Nature Reviews Molecular Cell Biology. 23:40-55
The expanding scale and inherent complexity of biological data have encouraged a growing use of machine learning in biology to build informative and predictive models of the underlying biological processes. All machine learning techniques fit models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd64423ad5983dab180ff8f157af4011
https://doi.org/10.1038/s41580-021-00407-0
https://doi.org/10.1038/s41580-021-00407-0
The design of novel protein sequences is providing paths towards the development of novel therapeutics and materials. At the forefront is the challenging field of de novo protein design, which looks to design protein sequences unlike those found in n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a2120847d7519c5c4cba2f5ce3edc2
https://doi.org/10.1101/2022.01.27.478087
https://doi.org/10.1101/2022.01.27.478087
The prediction of protein structure and the design of novel protein sequences and structures have long been intertwined. The recently released AlphaFold has heralded a new generation of accurate protein structure prediction, but the extent to which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f2a163a1999ea08169025caa3428dd
https://doi.org/10.1101/2021.08.24.457549
https://doi.org/10.1101/2021.08.24.457549
Publikováno v:
Nature reviews. Molecular cell biology. 23(1)
The expanding scale and inherent complexity of biological data have encouraged a growing use of machine learning in biology to build informative and predictive models of the underlying biological processes. All machine learning techniques fit models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::65d05dbc1065f57fc237b402903b8369
https://pubmed.ncbi.nlm.nih.gov/34518686
https://pubmed.ncbi.nlm.nih.gov/34518686
Autor:
David T. Jones, Lewis Moffat
Publikováno v:
Bioinformatics
Motivation Over the past 50 years, our ability to model protein sequences with evolutionary information has progressed in leaps and bounds. However, even with the latest deep learning methods, the modelling of a critically important class of proteins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5970232079279bc4b81c7ee6149391d
https://pubmed.ncbi.nlm.nih.gov/34213528
https://pubmed.ncbi.nlm.nih.gov/34213528
Autor:
Lewis Moffat, David T. Jones
Accurate modelling of a single orphan protein sequence in the absence of homology information has remained a challenge for several decades. Although not as performant as their homology-based counterparts, single-sequence bioinformatic methods are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c190539bb26e78159b78907748d93356
https://doi.org/10.1101/2020.07.13.201459
https://doi.org/10.1101/2020.07.13.201459
Autor:
Lewis Moffat
Publikováno v:
The Biochemist. 37:34-35
In 2014, the Biochemical Society helped fund students taking part in the iGEM (the International Genetically Engineered Machine) competition. This synthetic biology competition allows university students to work in teams to solve real challenges by b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d251901e2902b57170864541e2b1c57
https://doi.org/10.1042/bio03701034
https://doi.org/10.1042/bio03701034
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
The design of novel proteins has many applications but remains an attritional process with success in isolated cases. Meanwhile, deep learning technologies have exploded in popularity in recent years and are increasingly applicable to biology due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cd6da6fc7229a42d1302f85cb97518