About the Journal

Data Modeling is an international, open access, peer-reviewed journal that publishes: Original Research; Reviews; Hypothesis formation and commentaries in the fields of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems including below areas,

•  Bioinformatics, which applies algorithms and statistical techniques to the interpretation, classification and understanding of huge biological datasets.

• Mathematical biology, wich aims at the mathematical representation, treatment and modeling of biological processes, using a variety of applied mathematical techniques and  tools.

• Computational genomics, which studies the genomes of cells and organisms.

• Molecular modeling, which consists of modelling the behaviour of molecules of biological importance.

• Biomolecule structure prediction and structural genomics.

• Computational biochemistry and biophysics, which make extensive use of structural modeling and simulation methods such as molecular dynamics and Monte Carlo method-inspired Boltzmann sampling methods in an attempt to elucidate the kinetics and thermodynamics of protein functions. 

The journal is committed to publishing research works by utilizing a rapid, impartial, and rigorous review process. All submitted papers are subjected to strict double blind peer review by its distinguished international Advisory Board members, as well as by other anonymous international and national reviewers. Submitted manuscripts must not have been published previously in any copyright form (print or electronic/online).

The general criteria for acceptance of a manuscript are:

• advances Angiogenesis and herbal therapeutics based scientific knowledge;

• advances translational research;

• provides an adequate and relevant literature review;

• utilizes scientifically solid, reliable, and reproducible methodologies;

• derives appropriate and justifiable conclusions based upon the experimental data presented; and

• is written in English and is of the utmost quality and clarity.

Data Modeling is dedicated to the dissemination of fundamental information related to the clinical and pre-clinical research on system and chemical biology. Full-length articles presenting the results of original research, Review, Data report and brief communications are featured. The Journal publish article continuously. All accepted manuscripts are granted free online open-access immediately after publication, which permits its users to read, download, copy, distribute, print, search, or link to the full texts of its articles, thus facilitating access to a broad readership.

Data Modeling facilitates the author's response to the NIH Public Access Policy. For more details please see the Guide for authors.

Journal Officials Editor-in-Chief, Executive Editor, Assistant Editors, Section Editors, and Production Editors.

Publisher
EMAN Research

ISSN

print :XXXX; online:XXXX.

Frequency Continuous

Ranking: Angiotherapy

Data Modeling facilitates the author's response to the NIH Public Access Policy. For more details please see the Guide for authors.

Indexing

CrossRef, Publons, Google Scholar, Researchgate, Cite Factor.

Submitted for indexing