Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Yoshihiro Yamanishi"'
Autor:
Midori Iida, Yurika Kuniki, Kenta Yagi, Mitsuhiro Goda, Satoko Namba, Jun-ichi Takeshita, Ryusuke Sawada, Michio Iwata, Yoshito Zamami, Keisuke Ishizawa, Yoshihiro Yamanishi
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-16 (2024)
Abstract Background Combination therapy can offer greater efficacy on medical treatments. However, the discovery of synergistic drug combinations is challenging. We propose a novel computational method, SyndrumNET, to predict synergistic drug combina
Externí odkaz:
https://doaj.org/article/2c91047fa68240dd8a1fad9138403f41
Publikováno v:
iScience, Vol 27, Iss 6, Pp 110032- (2024)
Summary: Evaluation of the binding affinities of drugs to proteins is a crucial process for identifying drug pharmacological actions, but it requires three dimensional structures of proteins. Herein, we propose novel computational methods to predict
Externí odkaz:
https://doaj.org/article/080ae99a16964a4c98b048c256e60fb7
Autor:
Shogo Taniguchi, Francois Berenger, Yukako Doi, Ayana Mimura, Yoshihiro Yamanishi, Tsukasa Okiyoneda
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Cystic fibrosis (CF) is a monogenetic disease caused by the mutation of CFTR, a cAMP-regulated Cl− channel expressing at the apical plasma membrane (PM) of epithelia. ∆F508-CFTR, the most common mutant in CF, fails to reach the PM due to its misf
Externí odkaz:
https://doaj.org/article/2346a245720c4578b737a17b1470e10a
Publikováno v:
Epigenetics & Chromatin, Vol 16, Iss 1, Pp 1-15 (2023)
Abstract Background Despite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although transcriptome-based approaches are widely used to predict associations between chemicals and disor
Externí odkaz:
https://doaj.org/article/cf65822a43ba446987e34c3e59a88803
Publikováno v:
npj Systems Biology and Applications, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract Drugs are expected to recover the cell system away from the impaired state to normalcy through disease treatment. However, the understanding of gene regulatory machinery underlying drug activity or disease pathogenesis is far from complete.
Externí odkaz:
https://doaj.org/article/26f167d57c15477ca154b738ec0dd606
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-20 (2022)
Abstract Background Elucidating the modes of action (MoAs) of drugs and drug candidate compounds is critical for guiding translation from drug discovery to clinical application. Despite the development of several data-driven approaches for predicting
Externí odkaz:
https://doaj.org/article/1131141b275c4538914b0284a76610d1
Autor:
Shiroh Miura, Ryusuke Sawada, Akiko Yorita, Hiroshi Kida, Takashi Kamada, Yoshihiro Yamanishi
Publikováno v:
Clinical Case Reports, Vol 11, Iss 2, Pp n/a-n/a (2023)
Abstract In an open pilot trial, six patients with various hereditary forms of spinocerebellar ataxia (SCA) were assigned to topiramate (50 mg/day) for 24 weeks. Four patients completed the protocol without adverse events. Of these four patients, top
Externí odkaz:
https://doaj.org/article/7953f2e0edcf41089893dae70717983a
Autor:
Wataru Nemoto, Yoshihiro Yamanishi, Vachiranee Limviphuvadh, Shunsuke Fujishiro, Sakie Shimamura, Aoi Fukushima, Hiroyuki Toh
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/5d37a77931874d03b3b52e355a4d4d5d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract Heart failure is a heterogeneous disease with multiple risk factors and various pathophysiological types, which makes it difficult to understand the molecular mechanisms involved. In this study, we proposed a trans-omics approach for predict
Externí odkaz:
https://doaj.org/article/a8044467d1be4acda25dd41642b4d56d
Autor:
Wataru Nemoto, Yoshihiro Yamanishi, Vachiranee Limviphuvadh, Shunsuke Fujishiro, Sakie Shimamura, Aoi Fukushima, Hiroyuki Toh
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
The GGIP web server (https://protein.b.dendai.ac.jp/GGIP/) provides a web application for GPCR-GPCR interaction pair prediction by a support vector machine. The server accepts two sequences in the FASTA format. It responds with a prediction that the
Externí odkaz:
https://doaj.org/article/9cda99ae7acb45aabf219f9ba5387fac