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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...

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Autores principales: Simha N, Akshaya, Patil, Shashank M., Chagalamari, Akhila, Satish, A.M., Ramu, Ramith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440594/
https://www.ncbi.nlm.nih.gov/pubmed/37561634
http://dx.doi.org/10.1016/j.xpro.2023.102440
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author Simha N, Akshaya
Patil, Shashank M.
Chagalamari, Akhila
Satish, A.M.
Ramu, Ramith
author_facet Simha N, Akshaya
Patil, Shashank M.
Chagalamari, Akhila
Satish, A.M.
Ramu, Ramith
author_sort Simha N, Akshaya
collection PubMed
description 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)
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spelling pubmed-104405942023-08-22 Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach Simha N, Akshaya Patil, Shashank M. Chagalamari, Akhila Satish, A.M. Ramu, Ramith STAR Protoc Protocol 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) Elsevier 2023-08-09 /pmc/articles/PMC10440594/ /pubmed/37561634 http://dx.doi.org/10.1016/j.xpro.2023.102440 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Simha N, Akshaya
Patil, Shashank M.
Chagalamari, Akhila
Satish, A.M.
Ramu, Ramith
Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title_full Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title_fullStr Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title_full_unstemmed Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title_short Protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
title_sort protocol to identify multiple protein targets and therapeutic compounds using an in silico polypharmacological approach
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440594/
https://www.ncbi.nlm.nih.gov/pubmed/37561634
http://dx.doi.org/10.1016/j.xpro.2023.102440
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