Despite the intense development of vaccines and antiviral therapeutics, no specific treatment of coronavirus disease 2019 (COVID-19), caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently available. Recently, X-ray crystallographic structures of a validated pharmacological target of SARS-CoV-2, the main protease (M^pro also called 3CL^pro) in complex with peptide-like irreversible inhibitors have been published. We have carried out computer-aided structure-based design and optimization of peptidomimetic irreversible α-ketoamide M^pro inhibitors and their analogues using MM, MD and QM/MM methodology, with the goal to propose lead compounds with improved binding affinity to SARS-CoV-2 M^pro, enhanced specificity for pathogenic coronaviruses, decreased peptidic character, and favourable drug-like properties. The best inhibitor candidates designed in this work show largely improved interaction energies towards the M^pro and enhanced specificity due to 6 additional hydrogen bonds to the active site residues. The presented results on new SARS-CoV-2 M^pro inhibitors are expected to stimulate further research towards the development of specific anti-COVID-19 drugs.

We have carried out a computational structure-based design of new potent pyrrolidine carboxamide (PCAMs) inhibitors of enoyl-acyl carrier protein reductase (InhA) of Mycobacterium tuberculosis (MTb). Three-dimensional (3D) models of InhA-PCAMx complexes were prepared by in situ modification of the crystal structure of InhA-PCAM1 (Protein Data Bank (PDB) entry code: 4U0J), the reference compound of a training set of 20 PCAMs with known experimental inhibitory potencies (IC₅₀^exp). First, we built a gas phase quantitative structure-activity relationships (QSAR) model, linearly correlating the computed enthalpy of the InhA-PCAM complex formation and the IC₅₀^exp. Further, taking into account the solvent effect and loss of inhibitor entropy upon enzyme binding led to a QSAR model with a superior linear correlation between computed Gibbs free energies (ΔΔG_com) of InhA-PCAM complex formation and IC₅₀^exp (pIC₅₀^exp = −0.1552·ΔΔG_com + 5.0448, R² = 0.94), which was further validated with a 3D-QSAR pharmacophore model generation (PH4). Structural information from the models guided us in designing of a virtual combinatorial library (VL) of more than 17 million PCAMs. The VL was adsorption, distribution, metabolism and excretion (ADME) focused and reduced down to 1.6 million drug like orally bioavailable analogues and PH4 in silico screened to identify new potent PCAMs with predicted IC₅₀^pre reaching up to 5 nM. Combining molecular modeling and PH4 in silico screening of the VL resulted in the proposed novel potent antituberculotic agent candidates with favorable pharmacokinetic profiles.

We design here new nanomolar antituberculotics, inhibitors ofMycobacterium tuberculosisthymidine monophosphate kinase (TMPKmt), by means of structure-based molecular design. 3D models of TMPKmt-inhibitor complexes have been prepared from the crystal structure of TMPKmtcocrystallized with the natural substrate deoxythymidine monophosphate (dTMP) (1GSI) for a training set of 15 thymidine analogues (TMDs) with known activity to prepare a QSAR model of interaction establishing a correlation between the free energy of complexation and the biological activity. Subsequent validation of the predictability of the model has been performed with a 3D QSAR pharmacophore generation. The structural information derived from the model served to design new subnanomolar thymidine analogues. From molecular modeling investigations, the agreement between free energy of complexation (ΔΔGcom) andKivalues explains 94% of the TMPKmtinhibition (pKi=-0.2924ΔΔGcom+3.234;R2=0.94) by variation of the computedΔΔGcomand 92% for the pharmacophore (PH4) model (pKi=1.0206×pKipred-0.0832, R2=0.92). The analysis of contributions from active site residues suggested substitution at the 5-position of pyrimidine ring and various groups at the 5′-position of the ribose. The best inhibitor reached a predictedKiof 0.155 nM. The computational approach through the combined use of molecular modeling and PH4 pharmacophore is helpful in targeted drug design, providing valuable information for the synthesis and prediction of activity of novel antituberculotic agents.

The unique and complex structure of papain-like protease (PL^pro) of the SARS-CoV-2 virus represents a difficult challenge for antiviral development, yet it offers a compelling validated target for effective therapy of COVID-19. The surge in scientific interest in inhibiting this cysteine protease emerged after its demonstrated connection to the cytokine storm in patients with COVID-19 disease. Furthermore, the development of new inhibitors against PL^pro may also be beneficial for the treatment of respiratory infections caused by emerging coronavirus variants of concern. This review article provides a comprehensive overview of PL^pro inhibitors, focusing on the structural framework of the known inhibitor GRL0617 and its analogs. We categorize PL^pro inhibitors on the basis of their structures and binding site: Glu167 containing site, BL2 groove, Val70^Ub site, and Cys111 containing catalytic site. We summarize and evaluate the majority of GRL0617-like inhibitors synthesized so far, highlighting their published biochemical parameters, which reflect their efficacy. Published research has shown that strategic modifications to GRL0617, such as decorating the naphthalene ring, extending the aromatic amino group or the orthomethyl group, can substantially decrease the IC₅₀ from micromolar up to nanomolar concentration range. Some advantageous modifications significantly enhance inhibitory activity, paving the way for the development of new potent compounds. Our review places special emphasis on structures that involve direct modifications to the GRL0617 scaffold, including piperidine carboxamides and modified benzylmethylnaphthylethanamines (Jun9 scaffold). All these compounds are believed to inhibit the proteolytic, deubiquitination, and deISGylation activity of PL^pro, biochemical processes linked to the severe progression of COVID-19. Finally, we summarize the development efforts for SARS-CoV-2 PL^pro inhibitors, in detailed structure-activity relationships diagrams. This aims to inform and inspire future research in the search for potent antiviral agents against PL^pro of current and emerging coronavirus threats.