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International Journal of Computational Biology and Drug Design is a peer-reviewed journal published by Inderscience, covering Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, Gene expression and cancer classification.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Computational Biology and Drug Design, 12(3), pp. 45–58.
Formats any DOI in International Journal of Computational Biology and Drug Design style. No sign-up. |
| Publishes research in | Computational Drug Discovery Methods Bioinformatics and Genomic Networks Gene expression and cancer classification Machine Learning in Bioinformatics Genomics and Phylogenetic Studies |
| ISSN | 1756-0756 |
| Citation impact (2-yr) | 0.1 |
| h-index | 20 |
| i10-index | 45 |
| Total citations | 1,887 |
| Top institutions publishing here | Indiana University – Purdue University Indianapolis |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Molecular polar surface (PS) descriptors are very useful parameters in prediction of drug transport properties. They could be also used to investigate the blood-brain barrier (BBB) permeation rate for various chemical compounds. In this study, a dataset of drugs (n = 19) from various pharmacological groups was studied to estimate their potential properties to permeate…
A structure-based approach is described for predicting the effects of amino acid substitutions on protein function. Structures were predicted using a homology modelling method. Folding and binding energy differences between wild-type and mutant structures were computed to quantitatively assess the effects of amino acid substitutions on protein stability and protein protein interaction, respectively. We demonstrated…
High cost for systematic review of biomedical literature has generated interest in decreasing overall workload. This can be done by applying natural language processing techniques to 'automate' the classification of publications that are potentially relevant for a given question. Existing solutions need training using a specific supervised machine-learning algorithm and feature-extraction system separately for each…
Gankyrin is an oncoprotein composed of six ankyrin repeats, over-expressed in the Hepatocellular Carcinoma (HCC), and directly involved in the cell cycle regulation. Therefore, it is a potential drug target to restrict the growth of cancer cell and activation of apoptosis. We have successfully designed a potent ligand to inhibit the activity of gankyrin. Using…
The chemical universe of molecules reachable from a set of start compounds by iterative application of a finite number of reactions is usually so vast, that sophisticated and efficient exploration strategies are required to cope with the combinatorial complexity. A stringent analysis of (bio)chemical reaction networks, as approximations of these complex chemical spaces, forms the…
