雜志介紹

Journal Of Biomolecular Structure & Dynamics雜志介紹

《Journal Of Biomolecular Structure & Dynamics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱生物分子結(jié)構(gòu)與動力學(xué)雜志，本刊主要出版、報道生物學(xué)-BIOPHYSICS領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為2.7，最新CiteScore 指數(shù)為8.9。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Elucidation of the interaction mechanism of olmutinib with human alpha-1 acid glycoprotein: insights from spectroscopic and molecular modeling studies

  Author: Kou, Song-Bo; Li, Li; Zhang, Rong-Juan; Shi, Jie-Hua; Jiang, Shao-Liang

• Anchoring of Amyloid-beta onto Polyunsaturated Phospholipid Membranes

  Author: Yuan, Ruikang; Huang, Haohao

• Characterization and tissue expression analysis of mitochondrial creatine kinases (types I and II) from Pelodiscus sinensis

  Author: Zeng, Li-Fang; Lee, Jinhyuk; Lim, Gyutae; Yang, Yu-Fei; Lin, Run-Lan; Yin, Shang-Jun; Wang, Wei; Park, Yong-Doo

• Descriptor-free QSAR: effectiveness in screening for putative inhibitors of FGFR1

  Author: Joel, I. Y.; Sulaimon, L. A.; Idris, M. O.; Adigun, T. O.; Adisa, R. A.; Ademoye, T. A.; Ogunleye, M. O.; Olaniyi, T. O.

英文介紹

Journal Of Biomolecular Structure & Dynamics雜志英文介紹

The Journal Of Biomolecular Structure & Dynamics is an academic journal focused on the field of biomolecules, covering a wide range of topics from fundamental molecular structures to the dynamics of complex biological systems. The journal especially welcomes manuscripts that provide in-depth research into the structure, function, interaction, and expression regulation mechanisms of biomolecules, which are essential for understanding life processes and disease mechanisms.

As one of the leading publications in the fields of computational science, atomic structure biology, bioinformatics, virtual drug design, genomics, and biological networks, the journal emphasizes the use of advanced computational methods and theoretical models to explore the properties of biomolecules. This includes the use of computational simulations to predict the structure and dynamic behavior of biomolecules, and the use of bioinformatics tools to analyze large-scale biological data sets. The journal encourages interdisciplinary research, combining knowledge and methods from multiple disciplines such as biology, physics, chemistry, computer science, and engineering to promote a comprehensive understanding of biomolecular systems. This interdisciplinary convergence is helping to drive innovation in biomedical research, especially in disease mechanism analysis and drug discovery.