Computational Biology and Chemistry

Aims & Scope

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.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	3.1

Journal Rank

Year	Value
2024	11126

Journal Citation Indicator

Year	Value
2024	1368

SJR (SCImago Journal Rank)

Year	Value
2024	0.522

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	73

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Chemistry and Mathematics, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Quantitative methods for ecological network analysis

  Citation: 475

  Authors: Robert E.

• Improved binary PSO for feature selection using gene expression data

  Citation: 471

  Authors: Li-Yeh, Hsueh-Wei, Chung-Jui, Cheng-Hong

• Comparing two K-category assignments by a K-category correlation coefficient

  Citation: 412

  Authors: J.

• Gene selection from microarray data for cancer classification—a machine learning approach

  Citation: 293

  Authors: Yu, Igor V., Mark A., Eibe, Axel, Klaus F.X., Hans W.

• Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients

  Citation: 292

  Authors: Xuehua, Xiang, Zhennao, Xin, Xianqin, Ying, Huiling, Lufeng

• Stable feature selection for biomarker discovery

  Citation: 245

  Authors: Zengyou, Weichuan

• Stochastic approaches for modelling in vivo reactions

  Citation: 242

  Authors: T.E., S., K.

• Molecular docking studies, charge transfer excitation and wave function analyses (ESP, ELF, LOL) on valacyclovir : A potential antiviral drug

  Citation: 217

  Authors: Fathima Rizwana, Johanan Christian, S., Christina Susan

• Geo-Measures: A PyMOL plugin for protein structure ensembles analysis

  Citation: 212

  Authors: Luciano Porto, Gustavo Machado, Luís Fernando Saraiva Macedo, Rafael Andrade, Vera Lucia

• Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification

  Citation: 192

  Authors: Hala M., Ghada H., Yousef A.

---