Titlebook: Computational Peptidology; Peng Zhou,Jian Huang Book 2015 Springer Science+Business Media New York 2015 Peptide.bioinformatics.computation

Roosevelt

書(shū)目名稱(chēng)Computational Peptidology影響因子(影響力)




書(shū)目名稱(chēng)Computational Peptidology影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computational Peptidology網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computational Peptidology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computational Peptidology被引頻次




書(shū)目名稱(chēng)Computational Peptidology被引頻次學(xué)科排名




書(shū)目名稱(chēng)Computational Peptidology年度引用




書(shū)目名稱(chēng)Computational Peptidology年度引用學(xué)科排名




書(shū)目名稱(chēng)Computational Peptidology讀者反饋




書(shū)目名稱(chēng)Computational Peptidology讀者反饋學(xué)科排名

創(chuàng)作

Excited Nuclear States for H-3 (Hydrogen),novo structure peptide prediction has, in the past few years, made significant progresses that make reasonable, for peptides up to 50 amino acids, its use for the fast identification of their structural topologies. Here, we introduce some of the concepts underlying approaches of the field, together with their limits.

旁觀者

Peng Zhou,Jian HuangIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts

責(zé)問(wèn)

Methods in Molecular Biologyhttp://image.papertrans.cn/c/image/232889.jpg

搖曳

De Novo Peptide Structure Prediction: An Overview,novo structure peptide prediction has, in the past few years, made significant progresses that make reasonable, for peptides up to 50 amino acids, its use for the fast identification of their structural topologies. Here, we introduce some of the concepts underlying approaches of the field, together with their limits.

發(fā)牢騷

https://doi.org/10.1007/978-1-4939-2285-7Peptide; bioinformatics; computational biology; molecular modeling; peptide interaction; peptide therapeu

發(fā)牢騷

978-1-4939-4809-3Springer Science+Business Media New York 2015

祝賀

Excited Nuclear States for H-3 (Hydrogen),novo structure peptide prediction has, in the past few years, made significant progresses that make reasonable, for peptides up to 50 amino acids, its use for the fast identification of their structural topologies. Here, we introduce some of the concepts underlying approaches of the field, together

事先無(wú)準(zhǔn)備

Excited Nuclear States for Xe-121 (Xenon),ials. The description of peptide conformations and solvation through potentials is discussed. Several important computer simulation methods are briefly introduced, including molecular dynamics, accelerated sampling approaches such as replica-exchange and metadynamics, free energy simulations and kin

lattice