Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alain Tchagang"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background: Drug discovery and development is the extremely costly and time-consuming process of identifying new molecules that can interact with a biomarker target to interrupt the disease pathway of interest. In addition to binding the tar
Externí odkaz:
https://doaj.org/article/13404294b3e3481a9863b450b88f3463
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Drug discovery is a challenging process with a huge molecular space to be explored and numerous pharmacological properties to be appropriately considered. Among various drug design protocols, fragment-based drug design is an effective way of constrai
Externí odkaz:
https://doaj.org/article/79a39b3551e844a788ee5b444a1a7e43
Publikováno v:
Energies, Vol 14, Iss 9, p 2530 (2021)
The increased penetration of renewable energy sources (RES) and electric vehicles (EVs) is resulting in significant challenges to the stability, reliability, and resiliency of the electrical grid due to the intermittency nature of RES and uncertainty
Externí odkaz:
https://doaj.org/article/56922ebd0ad04cd28c21447de39be24a
Autor:
Alain Tchagang, Yeong Yoo
Publikováno v:
World Electric Vehicle Journal, Vol 11, Iss 1, p 14 (2020)
The energy stored in electric vehicles (EVs) would be made available to commercial buildings to actively manage energy consumption and costs in the near future. These concepts known as vehicle-to-building (V2B) and vehicle-to-grid (V2G) technologies
Externí odkaz:
https://doaj.org/article/eb2f827275e449c5acbdbc61c3091d3a
Autor:
Maicon Pierre Lourenço, Alain Tchagang, Karthik Shankar, Venkataraman Thangadurai, Dennis R. Salahub
Publikováno v:
Canadian Journal of Chemistry.
Finding the optimum material with improved properties for a given application is challenging because data acquisition in materials science and chemistry is time consuming and expensive. Therefore, dealing with small datasets is a reality in chemistry
Drug design and optimization are complex tasks that require strategically efficient exploration of the extremely vast search space. Various fragmentation strategies have been presented in the literature to reduce the complexity of the molecular searc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5aeac4c2658aed12e8c96d50bd2c659
https://doi.org/10.1109/cibcb55180.2022.9863052
https://doi.org/10.1109/cibcb55180.2022.9863052
Autor:
Maicon Pierre Lourenço, Lizandra Barrios Herrera, Jiří Hostaš, Patrizia Calaminici, Andreas M. Köster, Alain Tchagang, Dennis R. Salahub
Publikováno v:
Journal of Molecular Modeling. 28
Adsorbate interactions with substrates (e.g. surfaces and nanoparticles) are fundamental for several technologies, such as functional materials, supramolecular chemistry, and solvent interactions. However, modeling these kinds of systems in silico, s
Autor:
Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain Tchagang, Yifeng Li
In this paper, a prototypical deep evolutionary learning (DEL) process is proposed to integrate deep generative model and multi-objective evolutionary computation for molecular design. Our approach enables (1) evolutionary operations in the latent sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d2ceb6c98d5f5ff75bfe88d7521c16
https://doi.org/10.1109/mci.2022.3155308
https://doi.org/10.1109/mci.2022.3155308