Zobrazeno 1 - 10
of 2 433
pro vyhledávání: '"Chemoinformatics"'
Autor:
Sergey Sosnin
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract The exponential growth of data is challenging for humans because their ability to analyze data is limited. Especially in chemistry, there is a demand for tools that can visualize molecular datasets in a convenient graphical way. We propose a
Externí odkaz:
https://doaj.org/article/7d494abc59c643569706c1f19327fdc1
Autor:
Minori Uchimiya
Publikováno v:
Water Science and Engineering, Vol 17, Iss 2, Pp 101-107 (2024)
Although big data is publicly available on water quality parameters, virtual simulation has not yet been adequately adapted in environmental chemistry research. Digital twin is different from conventional geospatial modeling approaches and is particu
Externí odkaz:
https://doaj.org/article/313ac33bf0ed4150a5d939ef2623d6d1
Autor:
Bryan John J. Subong, Takeaki Ozawa
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 3, Pp 2598-2619 (2024)
The nonstructural proteins 7 and 8 (nsp7 and nsp8) of SARS-CoV-2 are highly important proteins involved in the RNA-dependent polymerase (RdRp) protein replication complex. In this study, we analyzed the global mutation of nsp7 and nsp8 in 2022 and 20
Externí odkaz:
https://doaj.org/article/bd182625a7d24c03af5af293f6763ab3
Autor:
Filip Miljković, José L. Medina-Franco
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 5, Iss , Pp 100096- (2024)
In chemoinformatics, artificial intelligence (AI) continues to grow a symbiosis with open science (OS). Such a close AI-OS interaction brings substantial practical benefits in research, scientific dissemination, and education, to name a few areas. Th
Externí odkaz:
https://doaj.org/article/f48f0047b7ca49aa89ff8984aaaf12f5
Publikováno v:
Frontiers in Drug Discovery, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/5ed6142cfabb49deaf2a75f6f03714f4