Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
2.
J Comput Aided Mol Des ; 37(11): 519-535, 2023 11.
Article in English | MEDLINE | ID: mdl-37535171

ABSTRACT

Systematic optimization of large macrocyclic peptide ligands is a serious challenge. Here, we describe an approach for lead-optimization using the PD-1/PD-L1 system as a retrospective example of moving from initial lead compound to clinical candidate. We show how conformational restraints can be derived by exploiting NMR data to identify low-energy solution ensembles of a lead compound. Such restraints can be used to focus conformational search for analogs in order to accurately predict bound ligand poses through molecular docking and thereby estimate ligand strain and protein-ligand intermolecular binding energy. We also describe an analogous ligand-based approach that employs molecular similarity optimization to predict bound poses. Both approaches are shown to be effective for prioritizing lead-compound analogs. Surprisingly, relatively small ligand modifications, which may have minimal effects on predicted bound pose or intermolecular interactions, often lead to large changes in estimated strain that have dominating effects on overall binding energy estimates. Effective macrocyclic conformational search is crucial, whether in the context of NMR-based restraints, X-ray ligand refinement, partial torsional restraint for docking/ligand-similarity calculations or agnostic search for nominal global minima. Lead optimization for peptidic macrocycles can be made more productive using a multi-disciplinary approach that combines biophysical data with practical and efficient computational methods.


Subject(s)
Peptides , Ligands , Molecular Docking Simulation , Retrospective Studies , Models, Molecular , Protein Binding , Protein Conformation
3.
J Org Chem ; 80(14): 7019-32, 2015 Jul 17.
Article in English | MEDLINE | ID: mdl-26151079

ABSTRACT

Clopidogrel is a prodrug anticoagulant with active metabolites that irreversibly inhibit the platelet surface GPCR P2Y12 and thus inhibit platelet activation. However, gaining an understanding of patient response has been limited due to imprecise understanding of metabolite activity and stereochemistry, and a lack of acceptable analytes for quantifying in vivo metabolite formation. Methods for the production of all bioactive metabolites of clopidogrel, their stereochemical assignment, and the development of stable analytes via three conceptually orthogonal routes are disclosed.


Subject(s)
Microsomes, Liver/metabolism , Piperidines/chemical synthesis , Platelet Aggregation Inhibitors/chemical synthesis , Platelet Aggregation Inhibitors/metabolism , Prodrugs/chemical synthesis , Ticlopidine/analogs & derivatives , Biological Phenomena , Clopidogrel , Humans , Microsomes, Liver/drug effects , Piperidines/chemistry , Platelet Aggregation Inhibitors/chemistry , Prodrugs/chemistry , Stereoisomerism , Ticlopidine/chemical synthesis , Ticlopidine/chemistry , Ticlopidine/metabolism
4.
Chem Res Toxicol ; 27(12): 2052-61, 2014 Dec 15.
Article in English | MEDLINE | ID: mdl-25372409

ABSTRACT

Certain aromatic nitriles are well-known inhibitors of cysteine proteases. The mode of action of these compounds involves the formation of a reversible or irreversible covalent bond between the nitrile and a thiol group in the active site of the enzyme. However, the reactivity of these aromatic nitrile-substituted heterocycles may lead inadvertently to nonspecific interactions with DNA, protein, glutathione, and other endogenous components, resulting in toxicity and complicating the use of these compounds as therapeutic agents. In the present study, the intrinsic reactivity and associated structure-property relationships of cathepsin K inhibitors featuring substituted pyridazines [6-phenylpyridazine-3-carbonitrile, 6-(4-fluorophenyl)pyridazine-3-carbonitrile, 6-(4-methoxyphenyl)pyridazine-3-carbonitrile, 6-p-tolylpyridazine-3-carbonitrile], pyrimidines [5-p-tolylpyrimidine-2-carbonitrile, 5-(4-fluorophenyl)pyrimidine-2-carbonitrile], and pyridines [5-p-tolylpicolinonitrile and 5-(4-fluorophenyl)picolinonitrile] were evaluated using a combination of computational and analytical approaches to establish correlations between electrophilicity and levels of metabolites that were formed in glutathione- and N-acetylcysteine-supplemented human liver microsomes. Metabolites that were characterized in this study featured substituted thiazolines that were formed following rearrangements of transient glutathione and N-acetylcysteine conjugates. Peptidases including γ-glutamyltranspeptidase were shown to catalyze the formation of these products, which were formed to lesser extents in the presence of the selective γ-glutamyltranspeptidase inhibitor acivicin and the nonspecific peptidase inhibitors phenylmethylsulfonyl fluoride and aprotinin. Of the chemical series mentioned above, the pyrimidine series was the most susceptible to metabolism to thiazoline-containing products, followed, in order, by the pyridazine and pyridine series. This trend was in keeping with the diminishing electrophilicity across these series, as demonstrated by in silico modeling. Hence, mechanistic insights gained from this study could be used to assist a medicinal chemistry campaign to design cysteine protease inhibitors that were less prone to the formation of covalent adducts.


Subject(s)
Microsomes, Liver/metabolism , Models, Chemical , Nitriles/metabolism , Pyridazines/metabolism , Pyridines/metabolism , Pyrimidines/metabolism , Thiazoles/metabolism , Chromatography, Liquid , Humans , Magnetic Resonance Spectroscopy , Spectrophotometry, Ultraviolet , Tandem Mass Spectrometry
SELECTION OF CITATIONS
SEARCH DETAIL
...