Synthesis, Crystal structure, Hirshfeld surface Analysis and computational approach of new 2-methylbenzimidazo[1,2-a]pyrimidin-4(1H)-one

Targeting XGHPRT enzyme to manage Helicobacter pylori induced gastric cancer: A multi-pronged machine learning, artificial intelligence and biophysics-based study

Helicobacter pylori infects the stomach mucosa of over half of the global population and can lead to gastric cancer. This pathogen has demonstrated resistance to many frequently prescribed antibiotics, thereby underscoring the pressing need to identify novel therapeutic targets. The inhibition or disruption of nucleic acid biosynthesis constitutes a promising avenue for either restraining or eradicating bacterial proliferation. The synthesis of RNA and DNA precursors (6-oxopurine nucleoside monophosphates) is catalyzed by the XGHPRT enzyme. In this study, using machine learning, artificial intelligence and biophysics-based software, CHEMBRIDGE-10000196, CHEMBRIDGE-10000295, and CHEMBRIDGE-10000955 were predicted as promising binders to the XGHPRT with a binding score of -14.20, -13.64, and -12.08 kcal/mol, respectively, compared to a control guanosine-5'-monophosphate exhibiting a docking score of -10.52 kcal/mol. These agents formed strong interactions with Met33, Arg34, Ala57, Asp92, Ser93, and Gly94 at short distance. The docked complexes of the lead compounds exhibited stable dynamics during the simulation time with no global changes noticed. The docked complexes demonstrate a significantly stable MM-GBSA and MM-PBSA net binding energy of -60.1 and -61.18 kcal/mol for the CHEMBRIDGE-10000196 complex. The MM-GBSA net energy value of the CHEMBRIDGE-10000295 complex and the CHEMBRIDGE-10000955 complex is -71.17 and -65.29 kcal/mol, respectively. The CHEMBRIDGE-10000295 and CHEMBRIDGE-10000955 complexes displayed a net value of -71.91 and -63.49 kcal/mol, respectively, as per the MM-PBSA. The major driving intermolecular interactions for the docked complexes were found to be the electrostatic and van der Waals. The three filtered molecules hold potential for experimental evaluation of their potency against the XGHPRT enzyme.

Synthesis, crystal structure, and a molecular modeling approach to identify effective antiviral hydrazide derivative against the main protease of SARS-CoV-2

In the fall of 2019, a new type of coronavirus took place in Wuhan city, China, and rapidly spread across the world and urges the scientific community to develop antiviral therapeutic agents. In our effort we have synthesized a new hydrazide derivative, (E)-N'-(1-(4-bromophenyl)ethylidene)-2-(6-methoxynaphthalen-2-yl)propanehydrazide for this purpose because of its potential inhibitory proprieties. The asymmetric unit of the title molecule consists of two independent molecules differing noticeably in conformation. In the crystal, the independent molecules are linked by N-H···O and C-H···O hydrogen bonds and C-H···π(ring) interactions into helical chains extending along the b-axis direction. The chains are further joined by additional C-H···π(ring) interactions into the full 3-D structure. To obtain a structure-activity relationship, the DFT-NBO analysis is performed to study the intrinsic electronic properties of the title compound. Molecular modeling studies were also conducted to examine the binding affinity of the compound for the SARS-CoV-2 main protease enzyme and to determine intermolecular binding interactions. The compound revealed a stable binding mode at the enzyme active pocket with a binding energy value of -8.1 kcal/mol. Further, stable dynamics were revealed for the enzyme-compound complex and reported highly favorable binding energies. The net MMGBSA binding energy of the complex is -37.41 kcal/mol while the net MMPBSA binding energy is -40.5 kcal/mol. Overall, the compound disclosed the strongest bond of ing the main protease enzyme and might be a good lead for further structural optimization.