PURPOSE: Drug metabolism and pharmacokinetics (DMPK) assessment has come to occupy a place of interest during the early stages of drug discovery today. The use of computer modelling to predict the DMPK and toxicity properties of a natural product library derived from medicinal plants from Central Africa (named ConMedNP). Material from some of the plant…
In Silico Pharmacology Template
Write in a clean editor, then format for In Silico Pharmacology in one click — DocuGuru applies the official Springer Nature template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the In Silico Pharmacology format
In Silico Pharmacology is a peer-reviewed journal published by Springer Nature, covering Computational Drug Discovery Methods, vaccines and immunoinformatics approaches, Natural Antidiabetic Agents Studies.
| Publisher | Springer Nature |
|---|---|
| Reference style | Author–year (Vancouver) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', In Silico Pharmacology, 12(3), pp. 45–58.
Formats any DOI in In Silico Pharmacology style. No sign-up. |
| Publishes research in | Computational Drug Discovery Methods vaccines and immunoinformatics approaches Natural Antidiabetic Agents Studies Synthesis and biological activity Cholinesterase and Neurodegenerative Diseases |
| ISSN | 2193-9616 |
| Citation impact (2-yr) | 1.73 |
| h-index | 33 |
| i10-index | 140 |
| Total citations | 4,693 |
| Article processing charge | $3,190 |
| Top institutions publishing here | Federal University of Technology |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in In Silico Pharmacology per year
Citation impact of In Silico Pharmacology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in In Silico Pharmacology
Developing a user-friendly platform that can handle a vast number of complex physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models both for conventional small molecules and larger biologic drugs is a substantial challenge. Over the last decade the Simcyp Population Based Simulator has gained popularity in major pharmaceutical companies (70% of top 40 - in term…
Molecular dynamics (MD) simulation is an emerging in silico technique with potential applications in diverse areas of pharmacology. Over the past three decades MD has evolved as an area of importance for understanding the atomic basis of complex phenomena such as molecular recognition, protein folding, and the transport of ions and small molecules across membranes.…
With the growing understanding of complex diseases, the focus of drug discovery has shifted away from the well-accepted "one target, one drug" model, to a new "multi-target, multi-drug" model, aimed at systemically modulating multiple targets. Identification of the interaction between drugs and target proteins plays an important role in genomic drug discovery, in order to…