Computational Biology And Chemistry SCIE

国际简称：COMPUT BIOL CHEM 参考译名：计算生物学和化学

主要研究方向：生物-计算机：跨学科应用非预警期刊审稿周期：约15.0个月

《计算生物学和化学》(Computational Biology And Chemistry)是一本由Elsevier Ltd出版的以生物-计算机：跨学科应用为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。

4区中科院分区
Q2 JCR分区
144 年发文量
2.6 IF影响因子
未开放 是否OA
55 H-index
2003 创刊年份
Bimonthly 出版周期
English 出版语言

Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.

Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.

Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.

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Computational Biology And Chemistry期刊信息

ISSN：1476-9271
出版语言：English
是否OA：未开放
E-ISSN：1476-928X
出版地区：ENGLAND
是否预警：否
出版商：Elsevier Ltd
出版周期：Bimonthly
创刊时间：2003
开源占比：0.043
Gold OA文章占比：6.84%
OA被引用占比：0.0232
出版国人文章占比：0.19
出版撤稿占比：0
研究类文章占比：100.00%

Computational Biology And Chemistry CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

6.1

0.497

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%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Computational Biology And Chemistry中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	生物	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 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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

Computational Biology And Chemistry JCR评价数据（2023-2024年最新版）

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%

Computational Biology And Chemistry历年数据统计

影响因子

中科院分区

Computational Biology And Chemistry中国学者发文选摘

1、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
2、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
3、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
4、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
5、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
6、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
7、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
8、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