Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yuki Kagaya"'
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Domains are functional and structural units of proteins that govern various biological functions performed by the proteins. Therefore, the characterization of domains in a protein can serve as a proper functional representation of proteins.
Externí odkaz:
https://doaj.org/article/667472b194e3476fbde62c3c0883072a
Autor:
Tunde Aderinwale, Vijay Bharadwaj, Charles Christoffer, Genki Terashi, Zicong Zhang, Rashidedin Jahandideh, Yuki Kagaya, Daisuke Kihara
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-12 (2022)
3D-AF-Surfer is presented as a computational resource for real-time protein structure comparison search between AlphaFold2 models and PDB entries within seconds to a few minutes.
Externí odkaz:
https://doaj.org/article/8610575ad26f4db68e608b509adf74b2
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Computational function prediction is one of the most important problems in bioinformatics as elucidating the function of genes is a central task in molecular biology and genomics. Most of the existing function prediction methods use protein sequences
Externí odkaz:
https://doaj.org/article/779020ddf28649999abb7f25906cf257
Autor:
Aashish Jain, Genki Terashi, Yuki Kagaya, Sai Raghavendra Maddhuri Venkata Subramaniya, Charles Christoffer, Daisuke Kihara
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Protein 3D structure prediction has advanced significantly in recent years due to improving contact prediction accuracy. This improvement has been largely due to deep learning approaches that predict inter-residue contacts and, more recently
Externí odkaz:
https://doaj.org/article/4b802a2160964401b3d88deddd0fef82
Autor:
Tunde Aderinwale, Zicong Zhang, Rhashidedin Jahandideh, Genki Terashi, Daisuke Kihara, Yuki Kagaya, Charles Christoffer, Vijay Bharadwaj
Last year saw a breakthrough in protein structure prediction, where the AlphaFold2 method showed a substantial improvement in the modeling accuracy. Following the software release of AlphaFold2, predicted structures by AlphaFold2 for proteins in 21 s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df3fed9bd6194a48889b51fc5dab2865
https://doi.org/10.1101/2021.10.21.465371
https://doi.org/10.1101/2021.10.21.465371
Autor:
Charles Christoffer, Yuki Kagaya, Sai Raghavendra Maddhuri Venkata Subramaniya, Genki Terashi, Aashish Jain, Daisuke Kihara
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports
Scientific Reports
Protein 3D structure prediction has advanced significantly in recent years due to improving contact prediction accuracy. This improvement has been largely due to deep learning approaches that predict inter-residue contacts and, more recently, distanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd23550462f1e2e6ab3bd518b23e4b39
https://doi.org/10.1038/s41598-021-87204-z
https://doi.org/10.1038/s41598-021-87204-z
Publikováno v:
BMJ Open, Vol 14, Iss 6 (2024)
Introduction Insomnia is a common health problem and cognitive–behavioural therapy (CBT) is recommended as a treatment. As there is a critical shortage of CBT-trained therapists, we developed a digital CBT application (IIIP MED: Sleepy Med) as Soft
Externí odkaz:
https://doaj.org/article/beac7e8a89934267a15b2e123ee6b94c
Autor:
Genki Terashi, Maddhuri Venkata Subramaniya, Yuki Kagaya, Charles Christoffer, Aashish Jain, Daisuke Kihara
Protein 3D structure prediction has advanced significantly in recent years due to improving contact prediction accuracy. This improvement has been largely due to deep learning approaches that predict inter-residue contacts and, more recently, distanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42d2dda9c5b66c0e746361bef7d1484
https://doi.org/10.1101/2020.11.24.396770
https://doi.org/10.1101/2020.11.24.396770
Autor:
Sai Raghavendra Maddhuri Venkata Subramaniya, Yuki Kagaya, Aashish Jain, Genki Terashi, Daisuke Kihara
Publikováno v:
Bioinformatics
Motivation Protein structure prediction remains as one of the most important problems in computational biology and biophysics. In the past few years, protein residue–residue contact prediction has undergone substantial improvement, which has made i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d8903acad00bf60020f06843b6032e
https://pubmed.ncbi.nlm.nih.gov/33787852
https://pubmed.ncbi.nlm.nih.gov/33787852
Autor:
Daisuke Kihara, Aashish Jain, Sai Raghavendra Maddhuri Venkata Subramaniya, Genki Terashi, Yuki Kagaya
Protein residue-residue contact prediction from protein sequence information has undergone substantial improvement in the past few years, which has made it a critical driving force for building correct protein tertiary structure models. Improving acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3426ff90552642336ebbcd56218b97a
https://doi.org/10.1101/2020.06.26.174300
https://doi.org/10.1101/2020.06.26.174300