Computational Biology And Chemistry

Computational Biology And Chemistry

计算生物学和化学

  • 4区 中科院分区
  • Q2 JCR分区

期刊简介

《Computational Biology And Chemistry》是由Elsevier Ltd出版社于2003年创办的英文国际期刊(ISSN: 1476-9271,E-ISSN: 1476-928X),该期刊长期致力于生物学领域的创新研究,主要研究方向为生物-计算机:跨学科应用。作为SCIE收录期刊(JCR分区 Q2,中科院 4区),本刊采用OA未开放获取模式(OA占比0.0232%),以发表生物学领域等方向的原创性研究为核心(研究类文章占比100.00%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在144篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动生物学领域高水平交流平台。

投稿咨询

投稿提示

Computational Biology And Chemistry审稿周期约为 约15.0个月 。该刊近年未被列入国际预警名单,年发文量约144篇,录用竞争适中,主题需确保紧密契合生物学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 生物学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 144 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
生物学
4区
BIOLOGY 生物学 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
4区 4区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
生物学
3区
BIOLOGY 生物学 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
3区 4区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:BIOLOGY SCIE Q2 35 / 109

68.3%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q2 80 / 169

53%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:BIOLOGY SCIE Q2 43 / 109

61.01%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q2 76 / 169

55.33%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:6.1 SJR:0.497 SNIP:0.782
学科类别 分区 排名 百分位
大类:Mathematics 小类:Computational Mathematics Q1 27 / 189

85%

大类:Mathematics 小类:Organic Chemistry Q2 66 / 211

68%

大类:Mathematics 小类:Structural Biology Q2 21 / 49

58%

大类:Mathematics 小类:Biochemistry Q2 190 / 438

56%

期刊发文

  • Microscopic model on indoor propagation of respiratory droplets

    Author: Mondal, Manas; Chakrabarti, Srabani; Gao, Yi Qin; Bhattacharyya, Dhananjay; Chakrabarti, Jaydeb

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 102, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2022.107806

  • QM/MM study of N501 involved intermolecular interaction between SARS-CoV-2 receptor binding domain and antibody of human origin

    Author: Liu, Yuemin; Sulaiman, Hana F.; Johnson, Bruce R.; Ma, Rulong; Gao, Yunxiang; Fernando, Harshica; Amarasekara, Ananda; Ashley-Oyewole, Andrea; Fan, Huajun; Ingram, Heaven N.; Briggs, James M.

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 102, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107810

  • Molecular docking and molecular simulation studies for N-degron selectivity of chloroplastic ClpS from Chlamydomonas reinhardtii

    Author: Wang, Ning; Gao, Jian-Guo; Wu, Ming-Wei

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 103, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107825

  • BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks

    Author: Zhang, Guo-Zheng; Gao, Ying-Lian

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 103, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107833

  • Dual computational and biological assessment of some promising nucleoside analogs against the COVID-19-Omicron variant

    Author: Abdalla, Mohnad; Rabie, Amgad M.

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 104, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2022.107768

  • Insights into beta(3)-adrenoceptor agonism through comprehensive in silico investigation

    Author: Luan, Jiasi; Hu, Baichun; Wang, Hanxun; Liu, Haihan; Wang, Shizhun; Chen, Lu; Li, Weixia; Wang, Jian; Cheng, Maosheng

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 104, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107836

  • BCM-DTI: A fragment-oriented method for drug-target interaction prediction using deep learning

    Author: Dou, Liang; Zhang, Zhen; Liu, Dan; Qian, Ying; Zhang, Qian

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 104, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107844

  • ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features

    Author: Yang, Runtao; Liu, Jiaming; Zhang, Lina

    Journal: COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2023; Vol. 104, Issue , pp. -. DOI: 10.1016/j.compbiolchem.2023.107853