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Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server
[Image: see text] Nuclear magnetic resonance (NMR) is an effective, commonly used experimental approach to screen small organic molecules against a protein target. A very popular method consists of monitoring the changes of the NMR chemical shifts of the protein nuclei upon addition of the small mol...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715503/ https://www.ncbi.nlm.nih.gov/pubmed/34843238 http://dx.doi.org/10.1021/acs.jcim.1c00871 |
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author | Laveglia, Vincenzo Giachetti, Andrea Cerofolini, Linda Haubrich, Kevin Fragai, Marco Ciulli, Alessio Rosato, Antonio |
author_facet | Laveglia, Vincenzo Giachetti, Andrea Cerofolini, Linda Haubrich, Kevin Fragai, Marco Ciulli, Alessio Rosato, Antonio |
author_sort | Laveglia, Vincenzo |
collection | PubMed |
description | [Image: see text] Nuclear magnetic resonance (NMR) is an effective, commonly used experimental approach to screen small organic molecules against a protein target. A very popular method consists of monitoring the changes of the NMR chemical shifts of the protein nuclei upon addition of the small molecule to the free protein. Multidimensional NMR experiments allow the interacting residues to be mapped along the protein sequence. A significant amount of human effort goes into manually tracking the chemical shift variations, especially when many signals exhibit chemical shift changes and when many ligands are tested. Some computational approaches to automate the procedure are available, but none of them as a web server. Furthermore, some methods require the adoption of a fairly specific experimental setup, such as recording a series of spectra at increasing small molecule:protein ratios. In this work, we developed a tool requesting a minimal amount of experimental data from the user, implemented it as an open-source program, and made it available as a web application. Our tool compares two spectra, one of the free protein and one of the small molecule:protein mixture, based on the corresponding peak lists. The performance of the tool in terms of correct identification of the protein-binding regions has been evaluated on different protein targets, using experimental data from interaction studies already available in the literature. For a total of 16 systems, our tool achieved between 79% and 100% correct assignments, properly identifying the protein regions involved in the interaction. |
format | Online Article Text |
id | pubmed-8715503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-87155032021-12-29 Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server Laveglia, Vincenzo Giachetti, Andrea Cerofolini, Linda Haubrich, Kevin Fragai, Marco Ciulli, Alessio Rosato, Antonio J Chem Inf Model [Image: see text] Nuclear magnetic resonance (NMR) is an effective, commonly used experimental approach to screen small organic molecules against a protein target. A very popular method consists of monitoring the changes of the NMR chemical shifts of the protein nuclei upon addition of the small molecule to the free protein. Multidimensional NMR experiments allow the interacting residues to be mapped along the protein sequence. A significant amount of human effort goes into manually tracking the chemical shift variations, especially when many signals exhibit chemical shift changes and when many ligands are tested. Some computational approaches to automate the procedure are available, but none of them as a web server. Furthermore, some methods require the adoption of a fairly specific experimental setup, such as recording a series of spectra at increasing small molecule:protein ratios. In this work, we developed a tool requesting a minimal amount of experimental data from the user, implemented it as an open-source program, and made it available as a web application. Our tool compares two spectra, one of the free protein and one of the small molecule:protein mixture, based on the corresponding peak lists. The performance of the tool in terms of correct identification of the protein-binding regions has been evaluated on different protein targets, using experimental data from interaction studies already available in the literature. For a total of 16 systems, our tool achieved between 79% and 100% correct assignments, properly identifying the protein regions involved in the interaction. American Chemical Society 2021-11-29 2021-12-27 /pmc/articles/PMC8715503/ /pubmed/34843238 http://dx.doi.org/10.1021/acs.jcim.1c00871 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Laveglia, Vincenzo Giachetti, Andrea Cerofolini, Linda Haubrich, Kevin Fragai, Marco Ciulli, Alessio Rosato, Antonio Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server |
title | Automated Determination of Nuclear Magnetic Resonance
Chemical Shift Perturbations in Ligand Screening Experiments: The
PICASSO Web Server |
title_full | Automated Determination of Nuclear Magnetic Resonance
Chemical Shift Perturbations in Ligand Screening Experiments: The
PICASSO Web Server |
title_fullStr | Automated Determination of Nuclear Magnetic Resonance
Chemical Shift Perturbations in Ligand Screening Experiments: The
PICASSO Web Server |
title_full_unstemmed | Automated Determination of Nuclear Magnetic Resonance
Chemical Shift Perturbations in Ligand Screening Experiments: The
PICASSO Web Server |
title_short | Automated Determination of Nuclear Magnetic Resonance
Chemical Shift Perturbations in Ligand Screening Experiments: The
PICASSO Web Server |
title_sort | automated determination of nuclear magnetic resonance
chemical shift perturbations in ligand screening experiments: the
picasso web server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715503/ https://www.ncbi.nlm.nih.gov/pubmed/34843238 http://dx.doi.org/10.1021/acs.jcim.1c00871 |
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