Computational Biology And Chemistry

SCIE

國際簡稱：COMPUT BIOL CHEM 參考譯名：計算生物學(xué)和化學(xué)

主要研究方向：生物-計算機：跨學(xué)科應(yīng)用非預(yù)警期刊審稿周期：約15.0個月

《計算生物學(xué)和化學(xué)》(Computational Biology And Chemistry)是一本由Elsevier Ltd出版的以生物-計算機：跨學(xué)科應(yīng)用為研究特色的國際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評論文章和綜述文章，及時報道該領(lǐng)域相關(guān)理論、實踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開放期刊，近三年沒有被列入預(yù)警名單。

4區(qū) 中科院分區(qū)
Q2 JCR分區(qū)
144 年發(fā)文量
2.6 IF影響因子
未開放 是否OA
55 H-index
2003 創(chuàng)刊年份
Bimonthly 出版周期
English 出版語言

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.

[ 查看全部 ]

投稿咨詢加急咨詢

Computational Biology And Chemistry期刊信息

ISSN：1476-9271
出版語言：English
是否OA：未開放
E-ISSN：1476-928X
出版地區(qū)：ENGLAND
是否預(yù)警：否
出版商：Elsevier Ltd
出版周期：Bimonthly
創(chuàng)刊時間：2003
開源占比：0.043
Gold OA文章占比：6.84%
OA被引用占比：0.0232
出版國人文章占比：0.19
出版撤稿占比：0
研究類文章占比：100.00%

Computational Biology And Chemistry CiteScore評價數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

6.1

0.497

0.782

學(xué)科類別	分區(qū)	排名	百分位
大類：Mathematics 小類：Computational Mathematics	Q1	27 / 189	85%
大類：Mathematics 小類：Organic Chemistry	Q2	66 / 211	68%
大類：Mathematics 小類：Structural Biology	Q2	21 / 49	58%
大類：Mathematics 小類：Biochemistry	Q2	190 / 438	56%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個指標(biāo)。當(dāng)年CiteScore 的計算依據(jù)是期刊最近4年（含計算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻數(shù)。例如，2022年的 CiteScore 計算方法為：2022年的 CiteScore =2019-2022年收到的對2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻數(shù)量注：文獻類型包括：文章、評論、會議論文、書籍章節(jié)和數(shù)據(jù)論文。

Computational Biology And Chemistry中科院評價數(shù)據(jù)

中科院 2023年12月升級版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物學(xué)	4區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	4區(qū) 4區(qū)

中科院 2022年12月升級版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物學(xué)	3區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	3區(qū) 4區(qū)

中科院 2021年12月舊的升級版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物學(xué)	4區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	4區(qū) 4區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物	4區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	4區(qū) 4區(qū)

中科院 2021年12月升級版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物學(xué)	4區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	4區(qū) 4區(qū)

中科院 2020年12月舊的升級版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	生物學(xué)	4區(qū)	BIOLOGY 生物學(xué) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機：跨學(xué)科應(yīng)用	4區(qū) 4區(qū)

Computational Biology And Chemistry JCR評價數(shù)據(jù)（2023-2024年最新版）

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：BIOLOGY	SCIE	Q2	35 / 109	68.3%
學(xué)科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	SCIE	Q2	80 / 169	53%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：BIOLOGY	SCIE	Q2	43 / 109	61.01%
學(xué)科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	SCIE	Q2	76 / 169	55.33%

Computational Biology And Chemistry歷年數(shù)據(jù)統(tǒng)計

影響因子

中科院分區(qū)

Computational Biology And Chemistry中國學(xué)者發(fā)文選摘

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