Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
ACS Chem Biol ; 18(2): 315-330, 2023 02 17.
Article in English | MEDLINE | ID: covidwho-2229664

ABSTRACT

During the replication process of SARS-CoV-2, the main protease of the virus [3-chymotrypsin-like protease (3CLpro)] plays a pivotal role and is essential for the life cycle of the pathogen. Numerous studies have been conducted so far, which have confirmed 3CLpro as an attractive drug target to combat COVID-19. We describe a novel and efficient next-generation sequencing (NGS) supported phage display selection strategy for the identification of a set of SARS-CoV-2 3CLpro targeting peptide ligands that inhibit the 3CL protease, in a competitive or noncompetitive mode, in the low µM range. From the most efficient l-peptides obtained from the phage display, we designed all-d-peptides based on the retro-inverso (ri) principle. They had IC50 values also in the low µM range and in combination, even in the sub-micromolar range. Additionally, the combination with Rutinprivir decreases 10-fold the IC50 value of the competitive inhibitor. The inhibition modes of these d-ri peptides were the same as their respective l-peptide versions. Our results demonstrate that retro-inverso obtained all-d-peptides interact with high affinity and inhibit the SARS-CoV-2 3CL protease, thus reinforcing their potential for further development toward therapeutic agents. The here described d-ri peptides address limitations associated with current l-peptide inhibitors and are promising lead compounds. Further optimization regarding pharmacokinetic properties will allow the development of even more potent d-peptides to be used for the prevention and treatment of COVID-19.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Peptide Hydrolases , Cysteine Endopeptidases/chemistry , Peptides/pharmacology , Protease Inhibitors/pharmacology , Protease Inhibitors/chemistry , Antiviral Agents/pharmacology , Antiviral Agents/chemistry
2.
Bioorg Chem ; 111: 104862, 2021 06.
Article in English | MEDLINE | ID: covidwho-1188327

ABSTRACT

For the COVID-19 pandemic caused by SARS-CoV-2, there are currently no effective drugs or vaccines to treat this coronavirus infection. In this study, we focus on the main protease enzyme of SARS-CoV-2, 3CLpro, which is critical for viral replication. We employ explicit solvent molecular dynamics simulations of about 150 compounds docked into 3CLpro's binding site and that had emerged as good main protease ligands from our previous in silico screening of over 1.2 million compounds. By incoporating protein dynamics and applying a range of structural descriptors, such as the ability to form specific contacts with the catalytic dyad residues of 3CLpro and the structural fluctuations of the ligands in the binding site, we are able to further refine our compound selection. Fourteen compounds including estradiol shown to be the most promising based on our calculations were procured and screened against recombinant 3CLpro in a fluorescence assay. Eight of these compounds have significant activity in inhibiting the SARS-CoV-2 main protease. Among these are corilagin, a gallotannin, and lurasidone, an antipsychotic drug, which emerged as the most promising natural product and drug, respectively, and might thus be candidates for drug repurposing for the treatment of COVID-19. In addition, we also tested the inhibitory activity of testosterone, and our results reveal testosterone as possessing moderate inhibitory potency against the 3CLpro enzyme, which may thus provide an explanation why older men are more severely affected by COVID-19.


Subject(s)
Coronavirus 3C Proteases/antagonists & inhibitors , Protease Inhibitors/metabolism , SARS-CoV-2/enzymology , Small Molecule Libraries/metabolism , Antiviral Agents/metabolism , Binding Sites , Coronavirus 3C Proteases/metabolism , Enzyme Assays , Ligands , Molecular Docking Simulation , Molecular Dynamics Simulation , Protein Binding
3.
Molecules ; 25(14)2020 Jul 13.
Article in English | MEDLINE | ID: covidwho-646769

ABSTRACT

We use state-of-the-art computer-aided drug design (CADD) techniques to identify prospective inhibitors of the main protease enzyme, 3CLpro of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. From our screening of over one million compounds including approved drugs, investigational drugs, natural products, and organic compounds, and a rescreening protocol incorporating enzyme dynamics via ensemble docking, we have been able to identify a range of prospective 3CLpro inhibitors. Importantly, some of the identified compounds had previously been reported to exhibit inhibitory activities against the 3CLpro enzyme of the closely related SARS-CoV virus. The top-ranking compounds are characterized by the presence of multiple bi- and monocyclic rings, many of them being heterocycles and aromatic, which are flexibly linked allowing the ligands to adapt to the geometry of the 3CLpro substrate site and involve a high amount of functional groups enabling hydrogen bond formation with surrounding amino acid residues, including the catalytic dyad residues H41 and C145. Among the top binding compounds we identified several tyrosine kinase inhibitors, which include a bioflavonoid, the group of natural products that binds best to 3CLpro. Another class of compounds that decently binds to the SARS-CoV-2 main protease are steroid hormones, which thus may be endogenous inhibitors and might provide an explanation for the age-dependent severity of COVID-19. Many of the compounds identified by our work show a considerably stronger binding than found for reference compounds with in vitro demonstrated 3CLpro inhibition and anticoronavirus activity. The compounds determined in this work thus represent a good starting point for the design of inhibitors of SARS-CoV-2 replication.


Subject(s)
Betacoronavirus/enzymology , Coronavirus Infections/drug therapy , Drug Discovery , Pneumonia, Viral/drug therapy , Protease Inhibitors/pharmacology , Viral Nonstructural Proteins/antagonists & inhibitors , Binding Sites , COVID-19 , Computer Simulation , Coronavirus 3C Proteases , Cysteine Endopeptidases , Drug Design , Humans , Inhibitory Concentration 50 , Ligands , Models, Molecular , Molecular Structure , Pandemics , SARS-CoV-2 , Software , Thermodynamics
SELECTION OF CITATIONS
SEARCH DETAIL