雜志介紹

Plos Computational Biology雜志介紹

《Plos Computational Biology》是一本以English為主的開放獲取國際優秀期刊，中文名稱Plos 計算生物學，本刊主要出版、報道生物學-BIOCHEMICAL RESEARCH METHODS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3.8，最新CiteScore 指數為7.1。

本刊近期中國學者發表的論文主要有：

• SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data

  Author: Shen, Lujun; Mo, Jinqing; Yang, Changsheng; Jiang, Yiquan; Ke, Liangru; Hou, Dan; Yan, Jingdong; Zhang, Tao; Fan, Weijun

• A dual graph neural network for drug-drug interactions prediction based on molecular structure and interactions

  Author: Ma, Mei; Lei, Xiujuan

• HiSV: A control-free method for structural variation detection from Hi-C data

  Author: Li, Junping; Gao, Lin; Ye, Yusen

• A new model of Notch signalling: Control of Notch receptor cis-inhibition via Notch ligand dimers

  Author: Chen, Daipeng M.; Forghany, Zary; Liu, Xinxin M.; Wang, Haijiang; Merks, Roeland M. H. M.; Baker, David

英文介紹

Plos Computational Biology雜志英文介紹

PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.

Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines.

Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights.

Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology.

Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.