Ligand-based Modeling for the Prediction of Pharmacophore Features for Multi-targeted Inhibition of the Arachidonic Acid Cascade

An arginine-rich peptide inhibits AChE: template-based design, molecular modeling, synthesis, and biological evaluation

Life expectancy is growing especially in developed countries. In this regard, aging-associated diseases such as Alzheimer's disease (AD) are more common. Multi interconnected pathological factors involved in AD demand multi-target therapeutics. AChE, as a well-known target in AD, decreases the acetylcholine (ACh) in cholinergic synapse and, besides, increases the rate of amyloid-beta (Aβ) aggregation. To block the destructive effects of AChE on cholinergic neurons in AD, we designed a peptidic inhibitor of the peripheral anionic site (PAS). The PAS plays a crucial role to attract and direct the ACh to the enzyme active site and increase the rate of Aβ aggregation by changing the folding state. We utilized the template-based approach in combination with molecular docking, molecular dynamic simulation, and data mining to design a peptide library. Scoring was performed according to binding energy and the interaction profile of AChE inhibitors. The best candidate (p8, RMLRTTRY) was synthesized using solid-phase peptide synthesis, purified by RP-HPLC, and identified by ESI-MS. The inhibitory effect of p8 on AChE was 102.2 ± 15.2 μM. The kinetic and molecular modeling studies indicated the mixed inhibition mechanism for p8. The Arg residues in p8 had an essential role in binding to PAS.

Catalytic Functionalization of Metallocarbenes Derived from α-Diazocarbonyl Compounds and Their Precursors

Short and efficient synthesis of heterocyclic compounds are highly desirable in synthetic organic chemistry. It is a dream approach to accomplish these syntheses from readily available starting materials in a single step. In this personal account, we discuss our contribution in the synthesis of heterocyclic compounds and beyond from N-sulfonyl-1,2,3-triazoles and α-diazocarbonyl compounds, which are the precursors for α-imino (carbonyl) metal carbenes in the presence of transition metal catalysts. Functionalization of α-imino(carbonyl) metal carbenes has been achieved through in-situ generated metal-stabilized ylides followed by either intramolecular trapping by non-polar bonds, rearrangement, cycloaddition, or 1,3-insertion fashion, which led to the efficient synthesis of various synthetically important intermediates and heterocyclic compounds.

Bioinformatic analysis of subfamily-specific regions in 3D-structures of homologs to study functional diversity and conformational plasticity in protein superfamilies

Local 3D-structural differences in homologous proteins contribute to functional diversity observed in a superfamily, but so far received little attention as bioinformatic analysis was usually carried out at the level of amino acid sequences. We have developed Zebra3D - the first-of-its-kind bioinformatic software for systematic analysis of 3D-alignments of protein families using machine learning. The new tool identifies subfamily-specific regions (SSRs) - patterns of local 3D-structure (i.e. single residues, loops, or secondary structure fragments) that are spatially equivalent within families/subfamilies, but are different among them, and thus can be associated with functional diversity and function-related conformational plasticity. Bioinformatic analysis of protein superfamilies by Zebra3D can be used to study 3D-determinants of catalytic activity and specific accommodation of ligands, help to prepare focused libraries for directed evolution or assist development of chimeric enzymes with novel properties by exchange of equivalent regions between homologs, and to characterize plasticity in binding sites. A companion Mustguseal web-server is available to automatically construct a 3D-alignment of functionally diverse proteins, thus reducing the minimal input required to operate Zebra3D to a single PDB code. The Zebra3D + Mustguseal combined approach provides the opportunity to systematically explore the value of SSRs in superfamilies and to use this information for protein design and drug discovery. The software is available open-access at https://biokinet.belozersky.msu.ru/Zebra3D.