Integrating Molecular Genetics and Network Pharmacology: In Silico Approaches to Target Rare Disorders and Complex Diseases Using Natural or Chemical Compounds

A special issue of Diseases (ISSN 2079-9721). This special issue belongs to the section "Rare Syndrome".

Deadline for manuscript submissions: 31 August 2026

Special Issue Editors


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Guest Editor
Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, 20213 Malmö, Sweden
Interests: Anti-Cancer Drugs; Anti-Diabetic Drugs; Antimicrobial Resistance; Cardiovascular Disease; Endothelial Cell Physiology; Genomics; In Silico biology; Natural Compounds-based drug discovery; Peptide-based drug discovery; WNT signalling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Translational Medicine, Clinical Research Centre, Lund University, 20213 Malmö, Sweden
Interests: WNT signaling, Colorectal Cancer, Metastasis, Drug resistance, Biomarker discovery, Cancer Stem Cells, Nanomedicine
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The necessity to comprehend the pharmacological effects of small/natural compounds in the treatment of orphan (rare genetic disorders) and complicated disorders (cancer, cardiovascular, neurological, etc.) has grown recently. Through the integration of text mining genes, drug–gene interactions, protein–protein interactions, and other forms of interactome data, molecular docking and network pharmacology techniques seek to identify disease biomarkers and simulate drug mechanisms of action at the systems level. In addition to identifying new targets and illness indications for currently available medications, modelling approaches have also resulted in the prediction of treatment responses for patients. We would like to discuss the latest developments in network modelling techniques/molecular genetics and their applications in the drug discovery process for orphan or complex diseases, including cancer. We are inviting research and review manuscripts that integrate molecular genetics and network pharmacology using in silico and/or experimental approaches. Submissions focusing on the identification of novel therapeutic targets, mechanistic insights, and compound–target interactions for rare and complex diseases—using natural or synthetic compounds—are particularly encouraged.

Dr. Vikas Yadav

Dr. Shakti Ranjan Satapathy

Guest Editors

Dr. Vikas Yadav
Dr. Shakti Ranjan Satapathy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diseases is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Natural / Chemical Compounds
  • Molecular Docking
  • Network Pharmacology
  • Protein–Protein Interaction
  • Biomarker Discovery
  • Cancer
  • Complex Diseases
  • Rare Genetic Disorders
  • In silico drug design
  • Drug Repositioning

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Published Papers

This special issue is now open for submission.
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