Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Curt Breneman"'
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Akademický článek
Evaluation of potential genotoxicity of HIV entry inhibitors derived from natural sources.
Autor: Elena E Paskaleva, Manoj Arra, Yanze Liu, Huijun Guo, Glenn Swartz, Jeffrey S Kennedy, Curt Breneman, Alexander Shekhtman, Mario Canki
Publikováno v: PLoS ONE, Vol 9, Iss 3, p e93108 (2014)
AIDS is a global pandemic that has seen the development of novel and effective treatments to improve the quality of life of those infected and reduction of spread of the disease. Palmitic Acid (PA), which we identified and isolated from Sargassum fus
Externí odkaz: https://doaj.org/article/f779ad529edd4f41a12d09b20e98bf7f
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4
Genetic algorithms for classification of olfactory stimulants
Autor: Barry K, Lavine, Charles E, Davidson, Curt, Breneman, William, Kaat
Publikováno v: Methods in molecular biology (Clifton, N.J.). 275
We have developed and tested a genetic algorithm (GA) for pattern recognition, which identifies molecular descriptors that optimize the separation of the activity classes of olfactory stimulants in a plot of the two or three largest principal compone
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::77f8af0e0e597a951c64fdfffe125407
https://pubmed.ncbi.nlm.nih.gov/15141123
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5
Predicting protein-ligand binding affinities using novel geometrical descriptors and machine-learning methods
Autor: Wei, Deng, Curt, Breneman, Mark J, Embrechts
Publikováno v: Journal of chemical information and computer sciences. 44(2)
Inspired by the concept of knowledge-based scoring functions, a new quantitative structure-activity relationship (QSAR) approach is introduced for scoring protein-ligand interactions. This approach considers that the strength of ligand binding is cor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::531a9bb46c7f36c90880804a99ecdaf6
https://pubmed.ncbi.nlm.nih.gov/15032552
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6
Electronic van der Waals Surface Property Descriptors and Genetic Algorithms for Developing Structure—Activity Correlations in Olfactory Databases
Autor: Barry K, Lavine, Charles E, Davidson, Curt, Breneman, William, Katt, C Matthew, Sundling
Publikováno v: ChemInform. 35
A methodology to facilitate the intelligent design of new odorants (e.g., musks) with specialized properties has been developed as part of an ongoing research effort in machine learning. In a traditional framework, the introduction of a new odorant i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728f4b4d2b3fae42625517d2ba5255df
https://doi.org/10.1002/chin.200405238
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Plný text Recenzováno Digitální knihovna AV ČR
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