69132人已查看 《COMPUTATIONAL BIOLOGY AND CHEMISTRY》 期刊2024最新IF预测值
预警说明查看说明
时间
预警情况
2024年02月发布的2024版
不在预警名单中
2023年01月发布的2023版
不在预警名单中
2021年12月发布的2021版
不在预警名单中
2020年12月发布的2020版
不在预警名单中
2025年预警名单预测
无异常数据 期刊预警概率很低
结果仅供参考
*来源:中科院《 国际期刊预警名单》
中科院分区查看说明
版本
大类学科
小类学科
Top期刊
综述期刊
2023年12月最新升级版
生物学4区
BIOLOGY
生物学
4区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
计算机:跨学科应用
4区
否
否
2022年12月升级版
生物学3区
BIOLOGY
生物学
3区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
计算机:跨学科应用
4区
否
否
2021年12月升级版
生物4区
BIOLOGY
生物学
4区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
计算机:跨学科应用
4区
否
否
2021年12月升级版
生物学4区
BIOLOGY
生物学
4区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
计算机:跨学科应用
4区
否
否
2020年12月升级版
生物学4区
BIOLOGY
生物学
4区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
计算机:跨学科应用
4区
否
否
JCR分区
WOS分区等级:Q2区
版本
按学科
分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of
Science)为每个学科内的期刊按照IF数值排序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2022-2023年最新版)
BIOLOGY
Q2
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q2
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期刊介绍
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.
Design, synthesis, antimicrobial activity and computational studies of novel azo linked substituted benzimidazole, benzoxazole and benzothiazole derivatives
来源期刊:Computational biology and chemistry
DOI:10.1016/j.compbiolchem.2019.01.003
Predicting drug-target interaction network using deep learning model
来源期刊:Computational biology and chemistry
DOI:10.1016/j.compbiolchem.2019.03.016
In silico drug design of inhibitor of nuclear factor kappa B kinase subunit beta inhibitors from 2-acylamino-3-aminothienopyridines based on quantitative structure-activity relationships and molecular docking
来源期刊:Computational biology and chemistry
DOI:10.1016/j.compbiolchem.2018.12.021
Protein secondary structure prediction using neural networks and deep learning: A review
来源期刊:Computational biology and chemistry
DOI:10.1016/j.compbiolchem.2019.107093
2/3D-QSAR, molecular docking and MD simulation studies of FtsZ protein targeting benzimidazoles derivatives