Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server-Reference-Cited by-同舟云学术

Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web Server

Published:2021-11-29 Issue:12 Volume:61 Page:5726-5733
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Laveglia Vincenzo¹,Giachetti Andrea¹,Cerofolini Linda¹,Haubrich Kevin²,Fragai Marco¹³⁴^ORCID,Ciulli Alessio²^ORCID,Rosato Antonio¹³⁴^ORCID

Affiliation:

1. Consorzio Interuniversitario di Risonanze Magnetiche di Metallo Proteine, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Italy

2. School of Life Sciences, Division of Biological Chemistry and Drug Discovery, The University of Dundee, James Black Centre, Dow Street, DD1 5EH, Dundee, United Kingdom

3. Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Italy

4. Department of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy

Funder

Innovative Medicines Initiative

Wellcome Trust

H2020 Research Infrastructures

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00871

Reference40 articles.

1. Insights into Protein–Ligand Interactions: Mechanisms, Models, and Methods

2. Small molecules, big targets: drug discovery faces the protein–protein interaction challenge

3. Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials

4. Biophysical Screening for the Discovery of Small-Molecule Ligands

5. Lessons from Hot Spot Analysis for Fragment-Based Drug Discovery

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