Computational and Experimental Approaches for Discovery and Development of New Products
A special issue of Molecules (ISSN 1420-3049).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4456
Special Issue Editor
Interests: computational molecular modeling with applications to drug discovery; mechanisms of neurodegenerative diseases; neurotoxicology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational and advanced experimental methods have become indispensable for the discovery and development of new products, such as pharmaceutical agents, agricultural chemicals, disinfectants, and exotic materials.
Computational tools include ligand-based and structure-based approaches, combinations of the two, and varying degrees of augmentation with quantum mechanics (QM), molecular mechanics (MM), and molecular dynamics (MD).
Ligand-based screening directs its focus toward intrinsic properties of small molecules and how to use these characteristics to predict compounds with a desired biological activity. Structure-based screening examines interactions of ligands with macromolecular targets to understand and predict the biological effect of interest.
Advanced experimental techniques include high-throughput technologies such as robotic systems to enable rapid acquisition of laboratory data and its computational analysis using modern omics methodologies.
Together, in silico and automated laboratory techniques make it possible to assess the potential of extremely large numbers of compounds at greatly reduced cost and much higher speed than would be possible with traditional wet lab procedures.
Nevertheless, the accuracy of computational approaches remains in need of improvement. To address the accuracy issue, recent advances in theory, software, and hardware appear to hold great promise. In particular, the emerging fields of artificial intelligence (AI) and machine learning (ML) are being applied to virtual screening with good effect. At the same time, commercial and open-source molecular modeling software continue to improve and to be increasingly accessible with respect to cost and ease of use. Similarly, ongoing advances in hardware, including CPUs and GPUs, are enabling compute-intensive processes such as molecular dynamics (MD) simulations to be carried out routinely on desktop workstations or on a larger scale using supercomputers or cloud-based high-performance clusters.
The goal of this Special Issue is to bring together a collection of high-quality research and review articles highlighting diverse facets of computational and/or advanced experimental approaches with applications in the discovery and development of new products.
Prof. Dr. Rudy J. Richardson
Guest Editor
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. Molecules is an international peer-reviewed open access semimonthly 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 2700 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
- virtual screening
- computational molecular modeling
- ligand-based screening
- structure-based screening
- high-throughput experimental/laboratory screening
- artificial intelligence (AI)
- machine learning (ML)
- computer technology (CPUs, GPUs, connectivity)
- cheminformatics
- bioinformatics
- epigenomics, genomics, metabolomics, proteomics, transcriptomics
- similarity searching
- pharmacophore mapping
- molecular docking
- ensemble docking
- inverse docking
- molecular databases
- interference with protein–protein interactions
- proteolysis-targeting chimeras (PROTACs)
- molecular modeling software
- small-molecule databases
- macromolecular target databases
- alpha fold
- Protein Data Bank (PDB)
- cambridge crystallographic data center (CCDC)
- drug repurposing
- quantitative structure–activity relationships (QSAR)
- computational and experimental design of drugs, crop protectants, disinfectants, and exotic materials
- quantum chemistry (ab initio and semi-empirical) applied to product design
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
