Titlebook: Data Mining Techniques for the Life Sciences; Oliviero Carugo,Frank Eisenhaber Book 2016Latest edition Springer Science+Business Media New

LEVEE

書目名稱Data Mining Techniques for the Life Sciences影響因子(影響力)




書目名稱Data Mining Techniques for the Life Sciences影響因子(影響力)學(xué)科排名




書目名稱Data Mining Techniques for the Life Sciences網(wǎng)絡(luò)公開度




書目名稱Data Mining Techniques for the Life Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Mining Techniques for the Life Sciences被引頻次




書目名稱Data Mining Techniques for the Life Sciences被引頻次學(xué)科排名




書目名稱Data Mining Techniques for the Life Sciences年度引用




書目名稱Data Mining Techniques for the Life Sciences年度引用學(xué)科排名




書目名稱Data Mining Techniques for the Life Sciences讀者反饋




書目名稱Data Mining Techniques for the Life Sciences讀者反饋學(xué)科排名

exercise

Protein Structure Databasese various atlases that describe each experimentally determined protein structure and provide useful links, analyses, and schematic diagrams relating to its 3D structure and biological function. Also of great interest are the databases that classify 3D structures by their folds as these can reveal ev

ungainly

geriatrician

Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designlly, protein stability is measured with circular dichroism, differential scanning calorimetry, and fluorescence spectroscopy using thermal and denaturant denaturation methods. These experimental data have been accumulated in the form of a database, ProTherm, thermodynamic database for proteins and m

follicular-unit

Classification and Exploration of 3D Protein Domain Interactions Using Kbdocknction and evolutionary relationships. Additionally, structural knowledge of existing domain–domain interactions can provide a useful way to find structural templates with which to model the 3D structures of unsolved protein complexes. Here we present a straightforward guide to using the “Kbdock” pr

舊石器時(shí)代

Data Mining of Macromolecular Structuresimization in drug development. Applying data mining techniques on these experimentally determined structures requires a highly uniform, standardized structural data source. The Protein Data Bank (PDB) has evolved over the years toward becoming the standard resource for macromolecular structures. How

舊石器時(shí)代

Criteria to Extract High-Quality Protein Data Bank Subsets for Structure Users the subsets are non-redundant and of high quality. The first problem can be solved relatively easily at the sequence level or at the structural level. The second, on the contrary, needs special attention. It is not sufficient, in fact, to consider the crystallographic resolution and other feature m

偏見

自愛

Microaneurysm