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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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) |
format | Online Article Text |
id | pubmed-10440594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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