Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Grigory Khimulya"'
Publikováno v:
Nature methods. 18(4)
Protein engineering has enormous academic and industrial potential. However, it is limited by the lack of experimental assays that are consistent with the design goal and sufficiently high throughput to find rare, enhanced variants. Here we introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::be09a259580fd9f2709cb924823cc418
https://pubmed.ncbi.nlm.nih.gov/33828272
https://pubmed.ncbi.nlm.nih.gov/33828272
Protein engineering has enormous academic and industrial potential. However, it is limited by the lack of experimental assays that are consistent with the design goal and sufficiently high-throughput to find rare, enhanced variants. Here we introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4190aa787e33c379511f9d3439d47f97
Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabeled amino-acid sequences to distill the fundamental features of a protein into a statistical representation that is semantically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62a9afc8b49a4f6d818d1c8fb4d5e703
https://doi.org/10.21203/rs.2.13774/v1
https://doi.org/10.21203/rs.2.13774/v1
Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabelled amino acid sequences to distill the fundamental features of a protein into a statisticalrepresentationthat is semantically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::421072b9e45adec27b447123356b9ad5
Autor:
Elena Lukianova, Vsevolod J. Makeev, Daria D. Nikolaeva, Irina A. Eliseeva, Grigory Khimulya, Ivan V. Kulakovskiy, Ilya E. Vorontsov
Publikováno v:
BMC Genomics
Background Somatic mutations in cancer cells affect various genomic elements disrupting important cell functions. In particular, mutations in DNA binding sites recognized by transcription factors can alter regulator binding affinities and, consequent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea3165a40876130bc87d0ec19fbd0628
http://europepmc.org/articles/PMC4928157
http://europepmc.org/articles/PMC4928157
Autor:
Vsevolod J. Makeev, Ivan V. Kulakovskiy, Daria D. Nikolaeva, Ilya E. Vorontsov, Grigory Khimulya
Publikováno v:
BIOINFORMATICS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c4231a73afc6b06bd6b44713639f6e
https://doi.org/10.5220/0005189301020108
https://doi.org/10.5220/0005189301020108
Autor:
Takeya Kasukawa, Ivan V. Kulakovskiy, Finn Drabløs, Ilya E. Vorontsov, Rezvan Ehsani, Andreas Lennartsson, Pouda Panahandeh, Yulia A. Medvedeva, Grigory Khimulya
Publikováno v:
Database: The Journal of Biological Databases and Curation
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Altres ajuts: Russian Fund For Basic Research(RFFI)grant 14-04-0018 i grant 15-34-20423, Ake Olsson's foundation, Swedish Cancer foundation, Swedish Childhood cancer foundation, Dynasty Foundation Fellowship, RIKEN Omics Science Center, RIKEN Prevent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::407c6e1308ca01785164b223530c787c
https://hdl.handle.net/11250/2659471
https://hdl.handle.net/11250/2659471