TY - JOUR
T1 - Probing Protein-Ligand Methyl−π Interaction Geometries through Chemical Shift Measurements of Selectively Labeled Methyl Groups
AU - Beier, Andreas
AU - Platzer, Gerald
AU - Höfurthner, Theresa
AU - Ptaszek, Aleksandra L.
AU - Lichtenecker, Roman J.
AU - Geist, Leonhard
AU - Fuchs, Julian E.
AU - McConnell, Darryl B.
AU - Mayer, Moriz
AU - Konrat, Robert
N1 - Publisher Copyright:
© 2024 The Authors. Published by American Chemical Society.
Accession Number
WOS:001280406400001
PubMed ID
39069741
PY - 2024/8/8
Y1 - 2024/8/8
N2 - Fragment-based drug design is heavily dependent on the optimization of initial low-affinity binders. Herein we introduce an approach that uses selective labeling of methyl groups in leucine and isoleucine side chains to directly probe methyl−π contacts, one of the most prominent forms of interaction between proteins and small molecules. Using simple NMR chemical shift perturbation experiments with selected BRD4-BD1 binders, we find good agreement with a commonly used model of the ring-current effect as well as the overall interaction geometries extracted from the Protein Data Bank. By combining both interaction geometries and chemical shift calculations as fit quality criteria, we can position dummy aromatic rings into an AlphaFold model of the protein of interest. The proposed method can therefore provide medicinal chemists with important information about binding geometries of small molecules in fast and iterative matter, even in the absence of high-resolution experimental structures.
AB - Fragment-based drug design is heavily dependent on the optimization of initial low-affinity binders. Herein we introduce an approach that uses selective labeling of methyl groups in leucine and isoleucine side chains to directly probe methyl−π contacts, one of the most prominent forms of interaction between proteins and small molecules. Using simple NMR chemical shift perturbation experiments with selected BRD4-BD1 binders, we find good agreement with a commonly used model of the ring-current effect as well as the overall interaction geometries extracted from the Protein Data Bank. By combining both interaction geometries and chemical shift calculations as fit quality criteria, we can position dummy aromatic rings into an AlphaFold model of the protein of interest. The proposed method can therefore provide medicinal chemists with important information about binding geometries of small molecules in fast and iterative matter, even in the absence of high-resolution experimental structures.
UR - http://www.scopus.com/inward/record.url?scp=85199796102&partnerID=8YFLogxK
U2 - 10.1021/acs.jmedchem.4c01128
DO - 10.1021/acs.jmedchem.4c01128
M3 - Article
C2 - 39069741
AN - SCOPUS:85199796102
VL - 67
SP - 13187
EP - 13196
JO - Journal of Medicinal Chemistry
JF - Journal of Medicinal Chemistry
SN - 0022-2623
IS - 15
ER -