Literature DB >> 30070482

Mathematical and Structural Characterization of Strong Nonadditive Structure-Activity Relationship Caused by Protein Conformational Changes.

Laurent Gomez1, Rui Xu1, William Sinko1, Brandon Selfridge1, William Vernier1, Kiev Ly1, Richard Truong1, Markus Metz1, Tami Marrone1, Kristen Sebring1, Yingzhou Yan1, Brent Appleton1, Kathleen Aertgeerts1, Mark Eben Massari1, J Guy Breitenbucher1.   

Abstract

In medicinal chemistry, accurate prediction of additivity-based structure-activity relationship (SAR) analysis rests on three assumptions: (1) a consistent binding pose of the central scaffold, (2) no interaction between the R group substituents, and (3) a relatively rigid binding pocket in which the R group substituents act independently. Previously, examples of nonadditive SAR have been documented in systems that deviate from the first two assumptions. Local protein structural change upon ligand binding, through induced fit or conformational selection, although a well-known phenomenon that invalidates the third assumption, has not been linked to nonadditive SAR conclusively. Here, for the first time, we present clear structural evidence that the formation of a hydrophobic pocket upon ligand binding in PDE2 catalytic site reduces the size of another distinct subpocket and contributes to strong nonadditive SAR between two otherwise distant R groups.

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Year:  2018        PMID: 30070482     DOI: 10.1021/acs.jmedchem.8b00713

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  5 in total

1.  Decision Making in Medicinal Chemistry: The Power of Our Intuition.

Authors:  Laurent Gomez
Journal:  ACS Med Chem Lett       Date:  2018-09-11       Impact factor: 4.345

2.  Radiosynthesis and Biological Investigation of a Novel Fluorine-18 Labeled Benzoimidazotriazine- Based Radioligand for the Imaging of Phosphodiesterase 2A with Positron Emission Tomography.

Authors:  Rien Ritawidya; Barbara Wenzel; Rodrigo Teodoro; Magali Toussaint; Mathias Kranz; Winnie Deuther-Conrad; Sladjana Dukic-Stefanovic; Friedrich-Alexander Ludwig; Matthias Scheunemann; Peter Brust
Journal:  Molecules       Date:  2019-11-15       Impact factor: 4.411

3.  Implications of Additivity and Nonadditivity for Machine Learning and Deep Learning Models in Drug Design.

Authors:  Karolina Kwapien; Eva Nittinger; Jiazhen He; Christian Margreitter; Alexey Voronov; Christian Tyrchan
Journal:  ACS Omega       Date:  2022-07-19

4.  Design, Synthesis, and Biological Evaluation of Novel 6H-Benzo[c]chromen-6-one Derivatives as Potential Phosphodiesterase II Inhibitors.

Authors:  Long Tang; Jianchun Jiang; Guoqiang Song; Yajing Wang; Ziheng Zhuang; Ying Tan; Yan Xia; Xianfeng Huang; Xiaoqing Feng
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

5.  Nonadditivity in public and inhouse data: implications for drug design.

Authors:  D Gogishvili; E Nittinger; C Margreitter; C Tyrchan
Journal:  J Cheminform       Date:  2021-07-02       Impact factor: 5.514

  5 in total

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