In Silico Biology

Aims & Scope

In Silico Biology is a scientific research journal for the advancement of computational models and simulations applied to complex biological phenomena.

We publish peer-reviewed leading-edge biological, biomedical and biotechnological research in which computer-based (i.e., "in silico") modeling and analysis tools are developed and utilized to predict and elucidate dynamics of biological systems, their design and control, and their evolution.

Experimental support may also be provided to support the computational analyses.

In Silico Biology aims to advance the knowledge of the principles of organization of living systems.

We strive to provide computational frameworks for understanding how observable biological properties arise from complex systems.

In particular, we seek for integrative formalisms to decipher cross-talks underlying systems level properties, ultimate aim of multi-scale models.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.156

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	49

Journal Rank

Year	Value
2024	24090

Journal Citation Indicator

Year	Value
2024	1

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Abstracting & Indexing

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

• Scopus
• Google Scholar
• Medline

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Subjects & Keywords

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

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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.

• PRIMe: A Web Site That Assembles Tools for Metabolomics and Transcriptomics

  Citation: 142

  Authors: Kenji, Eisuke, Hiroaki, Yukihisa, Takayuki, Kazuo, Masami Yokota, Tetsuya, Jun, Kazuki

• Distributions of Exons and Introns in the Human Genome

  Citation: 138

  Authors: Meena Kishore, Vincent T.K., Pandjassarame

• An Evolutionary Classification of the Metallo-ß-Lactamase Fold Proteins

  Citation: 86

  Authors: L.

• Prophage Finder: A Prophage Loci Prediction Tool for Prokaryotic Genome Sequences

  Citation: 79

  Authors: M., Robert D.

• Modeling cell population dynamics

  Citation: 69

  Authors: Daniel A., Gábor

• A Novel Genomics Approach for the Identification of Drug Targets in Pathogens, with Special Reference to Pseudomonas Aeruginosa

  Citation: 69

  Authors: Kishore R., Meena K., Vincent T.K.

• YACOP: Enhanced Gene Prediction Obtained by a Combination of Existing Methods

  Citation: 62

  Authors: Maike, Rainer

• KEGG-Based Pathway Visualization Tool for Complex Omics Data

  Citation: 59

  Authors: Kazuharu, Nobuaki, Yohei, Hirotada, Masaru

• New Assessment of a Structural Alphabet

  Citation: 57

  Authors: Alexandre G.

• CBCAnalyzer: Inferring Phylogenies Based on Compensatory Base Changes in RNA Secondary Structures

  Citation: 54

  Authors: Matthias, Joachim, Thomas, Tobias

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