Data mining of molecular dynamics trajectories of nucleic acids

Autor:	F. Javier Luque, Tim Meyer, Antonion Valencia, Carles Ferrer, ‡ Jose María López-Bes, Modesto Orozco, Xavier de la Cruz, Alberto Perez, Manuel Rueda, Agnes Noy, Juan Fernández-Recio, Ramon Pouplana
Předmět:	Models Molecular Quantitative Biology::Biomolecules Data processing Computer science Monte Carlo method Information Storage and Retrieval General Medicine DNA computer.software_genre Bottleneck Molecular dynamics Structural Biology Data Interpretation Statistical Nucleic Acids Trajectory Nucleic acid Nucleic Acid Conformation Thermodynamics Computer Simulation Data mining Databases Nucleic Acid Molecular Biology computer
Zdroj:	Scopus-Elsevier ResearcherID
Popis:	Analysis, storage, and transfer of molecular dynamic trajectories are becoming the bottleneck of computer simulations. In this paper we discuss different approaches for data mining and data processing of huge trajectory files generated from molecular dynamic simulations of nucleic acids.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec17f0e5675b04e0d366525cc0eb0af http://www.scopus.com/inward/record.url?eid=2-s2.0-30744445978&partnerID=MN8TOARS Zobrazit plný text záznamu