This article reviews some of our experiences on applying computational techniques to aid the design of drugs targeting protein kinases and phosphatases. It is not a comprehensive review. Rather, it focuses on several less explored approaches or ideas that we have experiences on. It reviews some recent improvements on the Poisson-Boltzmann/Surface Area model for calculating binding affinity and discusses ways to perform calculations that are more tolerant to statistical and systematic errors. Several new ways to incorporate protein flexibility in molecular docking and estimating binding affinity are also discussed. Its discussions also go beyond binding affinity to considering drug-binding kinetics, not only on investigating protein-ligand interactions in isolation, but also on accounting for upstream and downstream influences that can occur in cells, through kinetic modeling of cell signaling. This review also describes a quick molecular simulation method for understanding drug-binding kinetics at the molecular level, with the hope of generating guiding principles for designing drugs with the desired kinetic properties. Sources of drug-binding selectivity that appear obvious but often overlooked are also discussed.
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http://dx.doi.org/10.2174/1381612811319260006 | DOI Listing |
ACS Appl Bio Mater
January 2025
Department of Chemistry and Biochemistry, Thapar Institute of Engineering and Technology, Patiala-147001, India.
It has been well accumulated that G-quadruplex (G4-DNA) has great anticancer relevance, and various heterocyclic moieties have been synthesized and examined as potent G4-DNA binders with promising anticancer activity. Here, we have synthesized a series of naphthalimide-triazole-coumarin conjugates by substituting various amines and further examine their anticancer activity against 60 human cancer cell lines at 10 μM. One and five dose concentration results reveal low values of MG-MID GI for compounds including (3.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
School of Chemistry, The University of New South Wales, Sydney, NSW 2052, Australia.
A systematic series of QM cluster models has been developed to predict the trend in the carbonic anhydrase binding affinity of a structurally diverse dataset of ligands. Reference DLPNO-CCSD(T)/CBS binding energies were generated for a cluster model and used to evaluate the performance of contemporary density functional theory methods, including Grimme's "3c" DFT composite methods (rSCAN-3c and ωB97X-3c). It is demonstrated that when validated QM methods are used, the predictive power of the cluster models improves systematically with the size of the cluster models.
View Article and Find Full Text PDFMol Divers
January 2025
Department of Biochemistry, University of Delhi South Campus, Benito Juarez Road, Dhaula Kuan, New Delhi, 110021, India.
Nanobodies or variable antigen-binding domains (VH) derived from heavy chain-only antibodies (HcAb) occurring in the Camelidae family offer certain superior physicochemical characteristics like enhanced stability, solubility, and low immunogenicity compared to conventional antibodies. Their efficient antigen-binding capabilities make them a preferred choice for next-generation small biologics. In the present work, we design an anti-SARS-CoV-2 bi-paratopic nanobody drug conjugate by screening a nanobody database.
View Article and Find Full Text PDFMol Divers
January 2025
Department of Biophysics, Panjab University, Chandigarh, 160014, India.
Alzheimer's disease (AD) is a degenerative neurological disorder defined by the formation of β-amyloid (Aβ) plaques and neurofibrillary tangles within the brain. Current pharmacological treatments for AD only provide symptomatic relief, and there is a lack of definitive disease-modifying therapies. Chemical chaperones, such as 4-Phenylbutyric acid (4PBA) and Tauroursodeoxycholic acid, have shown neuroprotective effects in animal and cell culture models.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Agricultural Research Center(ARC), Sugar Crops Research Institute(SCRI), Giza, Egypt.
Background: Glyphosate is an extensively employed herbicide in agriculture, specifically for sugarcane cultivation. The situation is different with the extensive physiological and genetic effects exerted by this herbicide on a range of plant species, including sugarcane, whose model basis is still poorly characterized, although its primary mode of action, which acts on the EPSPS enzyme in the shikimic acid pathway, is completely elucidated. The current study was aimed at investigating the stability of glyphosate formulation, molecular interactions of glyphosate formulation with rbcL enzyme associated with chlorophyll metabolism, and its effects on varieties of sugarcane.
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