Biomaterial Database

SAR study on Novel truxillic acid monoester-Based inhibitors of fatty acid binding proteins as Next-Generation antinociceptive agents. 2022

Hehe Wang, and Adam Taouil, and Monaf Awwa, and Timothy Clement, and Chuanzhou Zhu, and Jinwoo Kim, and Dominick Rendina, and Kalani Jayanetti, and Atri Maharaj, and Liqun Wang, and Diane Bogdan, and Antonella Pepe, and Martin Kaczocha, and Iwao Ojima

Department of Chemistry, Stony Brook University, Stony Brook, NY 11794-3400, United States.

Fatty acid binding protein 5 (FABP5) is a highly promising target for the development of analgesics as its inhibition is devoid of CB1R-dependent side-effects. The design and discovery of highly potent and FABP5-selective truxillic acid (TA) monoesters (TAMEs) is the primary aim of the present study. On the basis of molecular docking analysis, ca. 2,000 TAMEs were designed and screened in silico, to funnel down to 55 new TAMEs, which were synthesized and assayed for their affinity (Ki) to FABP5, 3 and 7. The SAR study revealed that the introduction of H-bond acceptors to the far end of the 1,1'-biphenyl-3-yl and 1,1'-biphenyl-2-yl ester moieties improved the affinity of α-TAMEs to FABP5. Compound γ-3 is the first γ-TAME, demonstrating a high affinity to FABP5 and competing with α-TAMEs. We identified the best 20 TAMEs based on the FABP5/3 selectivity index. The clear front runner is α-16, bearing a 2‑indanyl ester moiety. In sharp contrast, no ε-TAMEs made the top 20 in this list. However, α-19 and ε-202, have been identified as potent FABP3-selective inhibitors for applications related to their possible use in the protection of cardiac myocytes and the reduction of α-synuclein accumulation in Parkinson's disease. Among the best 20 TAMEs selected based on the affinity to FABP7, 13 out of 20 TAMEs were found to be FABP7-selective, with α-21 as the most selective. This study identified several TAMEs as FABP7-selective inhibitors, which would have potentially beneficial therapeutic effects in diseases such as Down's syndrome, schizophrenia, breast cancer, and astrocytoma. We successfully introduced the α-TA monosilyl ester (TAMSE)-mediated protocol to dramatically improve the overall yields of α-TAMEs. α-TAMSEs with TBDPS as the silyl group is isolated in good yields and unreacted α-TA/ α-MeO-TA, as well as disilyl esters (α-TADSEs) are fully recycled. Molecular docking analysis provided rational explanations for the observed binding affinity and selectivity of the FABP3, 5 and 7 inhibitors, including their α, γ and ε isomers, in this study.

UI	MeSH Term	Description	Entries
D003503	Cyclobutanes	Four carbon cycloparaffin cyclobutane (the structural formula (CH2)4) and its derivatives.
D004952	Esters	Compounds derived from organic or inorganic acids in which at least one hydroxyl group is replaced by an –O-alkyl or another organic group. They can be represented by the structure formula RCOOR’ and are usually formed by the reaction between an acid and an alcohol with elimination of water.	Ester
D000700	Analgesics	Compounds capable of relieving pain without the loss of CONSCIOUSNESS.	Analgesic,Anodynes,Antinociceptive Agents,Analgesic Agents,Analgesic Drugs,Agents, Analgesic,Agents, Antinociceptive,Drugs, Analgesic
D013329	Structure-Activity Relationship	The relationship between the chemical structure of a compound and its biological or pharmacological activity. Compounds are often classed together because they have structural characteristics in common including shape, size, stereochemical arrangement, and distribution of functional groups.	Relationship, Structure-Activity,Relationships, Structure-Activity,Structure Activity Relationship,Structure-Activity Relationships
D050556	Fatty Acid-Binding Proteins	Intracellular proteins that reversibly bind hydrophobic ligands including: saturated and unsaturated FATTY ACIDS; EICOSANOIDS; and RETINOIDS. They are considered a highly conserved and ubiquitously expressed family of proteins that may play a role in the metabolism of LIPIDS.	Fatty Acid-Binding Protein,Adipocyte Lipid Binding Protein,Adipocyte-Specific Fatty Acid-Binding Protein,Brain-Type Fatty Acid-Binding Protein,Cytosolic Lipid-Binding Proteins,Fatty Acid-Binding Protein, Cardiac Myocyte,Fatty Acid-Binding Protein, Myocardial,Fatty Acid-Binding Proteins, Adipocyte-Specific,Fatty Acid-Binding Proteins, Brain-Specific,Fatty Acid-Binding Proteins, Cytosolic-Specific,Fatty Acid-Binding Proteins, Intestinal-Specific,Fatty Acid-Binding Proteins, Liver-Specific,Fatty Acid-Binding Proteins, Myocardial-Specific,Fatty Acid-Binding Proteins, Plasma-Membrane Specific,Intestinal Fatty Acid-Binding Protein,Liver Fatty Acid-Binding Protein,Myocardial Fatty Acid-Binding Protein,Plasma Membrane Fatty Acid-Binding Protein,Acid-Binding Protein, Fatty,Adipocyte Specific Fatty Acid Binding Protein,Brain Type Fatty Acid Binding Protein,Cytosolic Lipid Binding Proteins,Fatty Acid Binding Protein,Fatty Acid Binding Protein, Cardiac Myocyte,Fatty Acid Binding Protein, Myocardial,Fatty Acid Binding Proteins,Fatty Acid Binding Proteins, Adipocyte Specific,Fatty Acid Binding Proteins, Brain Specific,Fatty Acid Binding Proteins, Cytosolic Specific,Fatty Acid Binding Proteins, Intestinal Specific,Fatty Acid Binding Proteins, Liver Specific,Fatty Acid Binding Proteins, Myocardial Specific,Fatty Acid Binding Proteins, Plasma Membrane Specific,Intestinal Fatty Acid Binding Protein,Lipid-Binding Proteins, Cytosolic,Liver Fatty Acid Binding Protein,Myocardial Fatty Acid Binding Protein,Plasma Membrane Fatty Acid Binding Protein,Protein, Fatty Acid-Binding
D062105	Molecular Docking Simulation	A computer simulation technique that is used to model the interaction between two molecules. Typically the docking simulation measures the interactions of a small molecule or ligand with a part of a larger molecule such as a protein.	Molecular Docking,Molecular Docking Simulations,Molecular Docking Analysis,Analysis, Molecular Docking,Docking Analysis, Molecular,Docking Simulation, Molecular,Docking, Molecular,Molecular Docking Analyses,Molecular Dockings,Simulation, Molecular Docking