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Cheminformatics in Drug Discovery and Green Synthesis
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Cheminformatics in Drug Discovery and Green Synthesis

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 977

Special Issue Editor

Dr. Ana Amić

E-Mail Website
Guest Editor
Department of Chemistry, Josip Juraj Strossmayer University of Osijek, Ulica Cara Hadrijana 8A, 31000 Osijek, Croatia
Interests: computational chemistry; mechanisms of antioxidant activity; antiradical potential of polyphenolic compounds; DFT; molecular simulations; molecular docking; cheminformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide an overview of the impact of cheminformatics methods in drug discovery and green synthesis. Some aspects of interest are data mining integrated in cheminformatics (descriptor computations, structural similarity matrices, etc.), virtual libraries, building molecular databases for drug screening, in silico methods for data curation, optimisation of candidate drug molecules, visualisation and analysis of candidate drug molecule for better understanding of compound structure and prediction of compound bioactivity, toxicity or safety profiles, molecular docking for finding drug targets, etc. The part related to green synthesis focuses on novel environmentally friendly approaches for drug synthesis and the role of cheminformatics in these approaches. Drug synthesis is in most cases connected with negative impact on the environment, especially nowadays when the situation is additionally worsened due to the ever-growing population and environmental damage caused by various industries. Hence, the design of environmentally acceptable methods and technologies has a lot to offer, making green chemistry a very useful and significant tool for drug development. Future directions of cheminformatics and their impact on drug discovery and green synthesis are of interest as well.

Dr. Ana Amić
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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. 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

  • cheminformatics
  • drug discovery
  • databases
  • in silico methods
  • green chemistry

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Published Papers (2 papers)

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Research

17 pages, 6609 KiB  
Article
Rational Method for Structural Simplification as Key Step in Hit Discovery: The Case of FGFR2 and IGF1R Dual Inhibitors
by Endika Torres-Urtizberea, José I. Borrell, Raimon Puig de la Bellacasa and Roger Estrada-Tejedor
Int. J. Mol. Sci. 2025, 26(9), 4457; https://doi.org/10.3390/ijms26094457 - 7 May 2025
Abstract
In the classic medicinal chemistry hit discovery procedure, large virtual libraries undergo different filtering and prediction steps until a small group of molecules is selected for their subsequent synthesis and biological testing. The starting molecular libraries can easily be composed of millions of [...] Read more.
In the classic medicinal chemistry hit discovery procedure, large virtual libraries undergo different filtering and prediction steps until a small group of molecules is selected for their subsequent synthesis and biological testing. The starting molecular libraries can easily be composed of millions of molecules, hindering the selection of the most representative and promising compounds. Moreover, the resulting molecular systems tend to be overcomplex structures, hardly attainable, and often involve extrapolations of the prediction models used. We present a rational-based method to reduce the structural complexity of molecular candidates without compromising their biological activity, improving the attainability and efficiency of hit discovery. This approach has been successfully applied to identify potential tyrosine kinase dual inhibitors against Fibroblast Growth Factor Receptor 2 (FGFR2) and Insulin-Like Growth Factor 1 Receptor (IGF1R), a set of overexpressed proteins in different cancers, such as pancreatic ductal adenocarcinoma (PDAC). Full article
(This article belongs to the Special Issue Cheminformatics in Drug Discovery and Green Synthesis)
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25 pages, 4644 KiB  
Article
Design and Synthesis of New 5-Methylisatin Derivatives as Potential CDK2 Inhibitors
by Przemysław Czeleń, Agnieszka Skotnicka, Beata Szefler, Janina Kabatc-Borcz and Paweł Sutkowy
Int. J. Mol. Sci. 2025, 26(5), 2144; https://doi.org/10.3390/ijms26052144 - 27 Feb 2025
Viewed by 453
Abstract
Cancer remains one of the leading causes of death globally, driving the need for effective therapies. Targeting cyclin-dependent kinase 2 (CDK2), a critical cell cycle regulator, is a promising approach for cancer treatment. This study developed a new group of 5-methylisatin derivatives with [...] Read more.
Cancer remains one of the leading causes of death globally, driving the need for effective therapies. Targeting cyclin-dependent kinase 2 (CDK2), a critical cell cycle regulator, is a promising approach for cancer treatment. This study developed a new group of 5-methylisatin derivatives with strong binding potential to CDK2. By combining the isatin core with various benzoylhydrazide substituents, the design process was guided by molecular docking, dynamic simulations, and ADMET analysis. Thirty-one derivatives were modelled, and a subset was synthesised and characterised for their physicochemical and spectroscopic properties. The analysis suggested that substitutions at R2 and R3 positions improved binding affinity, while modifications at R4 were less favourable. Hydrogen bonds with GLU81 and LEU83, along with hydrophobic interactions, were key to stabilising the complexes. A comparison with a reference molecule (RM) 3-((2,6-Dichlorobenzylidene)hydrazono)indolin-2-one, showing inhibitory activity similar to doxorubicin, revealed several advantages for the new derivatives. The multidimensional comparative analysis highlighted significant improvements in active site affinity, conformational stability, and fit. ADMET analysis confirmed comparable performance in most areas, with superior bioavailability observed in derivatives 1, 2a, 2b, 3h, 3b, and 3e. These results suggest that 5-methylisatin derivatives could be promising CDK2 inhibitors. Full article
(This article belongs to the Special Issue Cheminformatics in Drug Discovery and Green Synthesis)
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