Abstract
Amyotrophic Lateral Sclerosis (ALS), commonly known as Lou Gehrig's disease, is a neurodegenerative condition characterized by the gradual deterioration of motor neurons in the brain and spinal cord, leading to muscle weakness, difficulty swallowing, speaking, and breathing. The normal ageing process has structural and functional effects on motor neurons, which may contribute to motor neuron pathology in ALS, either directly or indirectly. Although there are a few treatments available for ALS, their efficacy is limited. The objective of this study is to identify and screen potential C9ORF72 Agonists using High Throughput Virtual screening and Molecular Dynamics simulations. Using Edaravone and Riluzole as benchmark molecules, the study evaluated various chemical compounds from different databases against the target. Lead compounds from three databases (Specs_1289, Zinc_67912153 and Enamine_785152) showed binding affinity, stability and pharmacokinetic greater activity which is achieved through ML based tool; concluding that they could be used as a potential agonist for ALS-associated C9ORF72. The complexes have the highest docking scores of - 8.21, - 11.06, and - 6.934 kcal/mol with the lowest binding energy which aids the structural stability of the complex. HOMO and LUMO occupancy of the lead compounds deciphers the energy levels of the compounds with the lowest energy gap which was favorable for the chemical reactivity and chemical inertness of the molecule. Furthermore, ADME and Toxicity analysis of the compounds were evaluated through Machine Learning based tool, pkCSM. MD simulation concluded that the lead complexes showed lesser deviation and fluctuations with the higher number of hydrogen bond interactions which favors the structural stability and biological activity of the complex. This study concluded that the resultant leads from three different chemical libraries were considered as the potential therapeutic option for targeting ALS.