↓ Skip to main content

PLOS

Ligand Clouds around Protein Clouds: A Scenario of Ligand Binding with Intrinsically Disordered Proteins

Overview of attention for article published in PLoS Computational Biology, October 2013
Altmetric Badge

Mentioned by

twitter
5 X users

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
6 CiteULike
Title
Ligand Clouds around Protein Clouds: A Scenario of Ligand Binding with Intrinsically Disordered Proteins
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003249
Pubmed ID
Authors

Fan Jin, Chen Yu, Luhua Lai, Zhirong Liu

Abstract

Intrinsically disordered proteins (IDPs) were found to be widely associated with human diseases and may serve as potential drug design targets. However, drug design targeting IDPs is still in the very early stages. Progress in drug design is usually achieved using experimental screening; however, the structural disorder of IDPs makes it difficult to characterize their interaction with ligands using experiments alone. To better understand the structure of IDPs and their interactions with small molecule ligands, we performed extensive simulations on the c-Myc₃₇₀₋₄₀₉ peptide and its binding to a reported small molecule inhibitor, ligand 10074-A4. We found that the conformational space of the apo c-Myc₃₇₀₋₄₀₉ peptide was rather dispersed and that the conformations of the peptide were stabilized mainly by charge interactions and hydrogen bonds. Under the binding of the ligand, c-Myc₃₇₀₋₄₀₉ remained disordered. The ligand was found to bind to c-Myc₃₇₀₋₄₀₉ at different sites along the chain and behaved like a 'ligand cloud'. In contrast to ligand binding to more rigid target proteins that usually results in a dominant bound structure, ligand binding to IDPs may better be described as ligand clouds around protein clouds. Nevertheless, the binding of the ligand and a non-ligand to the c-Myc₃₇₀₋₄₀₉ target could be clearly distinguished. The present study provides insights that will help improve rational drug design that targets IDPs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 1 <1%
France 1 <1%
Belgium 1 <1%
Canada 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 115 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 26%
Student > Ph. D. Student 28 23%
Student > Master 14 11%
Student > Bachelor 9 7%
Student > Doctoral Student 6 5%
Other 19 15%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 26%
Biochemistry, Genetics and Molecular Biology 30 24%
Chemistry 22 18%
Physics and Astronomy 4 3%
Computer Science 2 2%
Other 8 6%
Unknown 26 21%