Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Timothy L. Andersen"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background Conventional de novo drug design is costly and time consuming, making it accessible to only the best resourced research organizations. An emergent approach to new drug development is drug repurposing, in which compounds that have
Externí odkaz:
https://doaj.org/article/45ba5aa17c5d41298f9ee12873d3c712
Autor:
Christopher Green, Elton Graugnard, Luca Piantanida, William L. Hughes, George D. Dickinson, Golam Md Mortuza, Timothy L. Andersen, Chad S. Watson, Reza M. Zadegan, William Clay, Eric J. Hayden, Wan Kuang
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
DNA is a compelling alternative to non-volatile information storage technologies due to its information density, stability, and energy efficiency. Previous studies have used artificially synthesized DNA to store data and automated next-generation seq
Autor:
Thomas M. Green, Timothy L. Andersen
Publikováno v:
GECCO Companion
Understanding how the complex interactions of the problem-algorithm combination lead to an algorithm's search performance is arguably one of the most important open questions in metaheuristic algorithm theory. Examination of the fitness landscape doe
Publikováno v:
IEEE Workshop on Microelectronics and Electron Devices : [proceedings]. IEEE Workshop on Microelectronics and Electron Devices. 2017
The global demand for digital data is projected to be greater than the supply of semiconductor grade silicon in 2040 [1]. When combined with the need to archive information [2], nucleic acids are being explored as an alternative memory material [1-7]
Publikováno v:
HICSS
Publikováno v:
AIMS Molecular Science, Vol 3, Iss 2, Pp 238-245 (2016)
Due to low cost, speed, and unmatched ability to explore large numbers of compounds, high throughput virtual screening and molecular docking engines have become widely utilized by computational scientists. It is generally accepted that docking engine
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Background Conventional de novo drug design is costly and time consuming, making it accessible to only the best resourced research organizations. An emergent approach to new drug development is drug repurposing, in which compounds that have already g
Autor:
Sarah Bradburn, Owen M. McDougal, Timothy L. Andersen, Paul Daniel Phillips, Matthew W. Turner, Sarah Lew, Michael Katz, Matthew D. King
Publikováno v:
Biochemistry and Molecular Biology Education. 44:63-67
Computational molecular docking is a fast and effective in silico method for the analysis of binding between a protein receptor model and a ligand. The visualization and manipulation of protein to ligand binding in three-dimensional space represents
Publikováno v:
Journal of Computational Chemistry. 36:1304-1310
The prominence of endogenous peptide ligands targeted to receptors makes peptides with the desired binding activity good molecular scaffolds for drug development. Minor modifications to a peptide's primary sequence can significantly alter its binding
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
In this paper we propose a stacking approach for Convolutional Neural Network (CNN) transfer learning ensemble for remote sensing imagery, in particular for the task of scene classification. We propose to use a combination of features produced by an