Titlebook: Computational Methods in Protein Evolution; Tobias Sikosek Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 ph

Guffaw

書目名稱Computational Methods in Protein Evolution影響因子(影響力)




書目名稱Computational Methods in Protein Evolution影響因子(影響力)學(xué)科排名




書目名稱Computational Methods in Protein Evolution網(wǎng)絡(luò)公開度




書目名稱Computational Methods in Protein Evolution網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Methods in Protein Evolution被引頻次




書目名稱Computational Methods in Protein Evolution被引頻次學(xué)科排名




書目名稱Computational Methods in Protein Evolution年度引用




書目名稱Computational Methods in Protein Evolution年度引用學(xué)科排名




書目名稱Computational Methods in Protein Evolution讀者反饋




書目名稱Computational Methods in Protein Evolution讀者反饋學(xué)科排名

微枝末節(jié)

2.3.2.5 Presentation of results,ns. In this chapter we cover the basic theoretical concepts important for the use of calculations utilizing the non-equilibrium alchemical switching methodology. We further provide a detailed step-by-step protocol for estimating the effect of a single amino acid mutation on protein thermostability.

BABY

2.2.1.2.3 Continental heat flow literature,ecular functions to genomes through molecular adaptation is one important goal in comparative genomics. In large gene families, however, characterizing adaptation and neofunctionalization across species is challenging, as models have traditionally quantified the timing of duplications without consid

Meditative

哺乳動(dòng)物

2.2.1.2.6-7 References for 2.2.1.2,mation about unique intramolecular interactions and, therefore, can assist in the elucidation of biomolecular conformations. It is based on the idea that compensatory mutations at specific residue positions in a sequence help preserve stability of protein architecture and function and leave a statis

municipality

municipality

2.2.1.2.4 Continental heat flow results,e, and fitness in biological systems. The applications cover many areas of biological research, including biochemistry, genomics, protein and systems engineering, medicine, and evolutionary biology. However, the quantitative definitions of epistasis vary among fields, and the analysis beyond just pa

杠桿支點(diǎn)

Enteropathic

2.2.1.2.4 Continental heat flow results, ASR is the computation of a phylogenetic tree whose leaves are the chosen extant sequences. Most often, the reconstructed sequence related to the root of this tree is of greatest interest: It represents the common ancestor (CA) of the sequences under study. If this sequence encodes a protein, one c

Processes

2.2.1.2.6-7 References for 2.2.1.2,re may be strongly conserved despite large divergences in sequence, structural information can be used to help identify homology in such cases..While there exist well-studied models of sequence evolution, structurally informed alignment methods have typically made use of geometric measures of deviat