Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach

Polypharmacology aids in the identification of multiple protein targets involved in disease pathology and selecting appropriate therapeutic compounds interacting with protein targets. Here, we present a protocol to identify the targets involved in obesity-linked diabetes and suitable phytocompounds to bind with the identified target. We describe steps to install and use softwares for identifying several protein targets by linking multiple diseases. This protocol allows the use of therapeutic compounds of both phytochemical and synthetic origins. For complete details on the use and execution of this protocol, please refer to Martiz et al.,1 and Maradesha et al.2 [Display omitted] •Protocol to identify multiple protein targets belonging to different diseases•Steps to build a network of pathogenic proteins and selecting the best targets•Construction of a protein-compound network to identify the best therapeutic compounds•Exploration of multiple protein targets and their suitable binding compounds Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Polypharmacology aids in the identification of multiple protein targets involved in disease pathology and selecting appropriate therapeutic compounds interacting with protein targets. Here, we present a protocol to identify the targets involved in obesity-linked diabetes and suitable phytocompounds to bind with the identified target. We describe steps for installing and using software, using these tools to identify several protein targets by linking multiple diseases. This protocol allows the use of therapeutic compounds of both phytochemical and synthetic origins.