The crystal structure of HIV-2 protease in complex with a reduced amide inhibitor [BI-LA-398; Phe-Val-Phe-psi (CH2NH)-Leu-Glu-Ile-amide] has been determined at 2.2-A resolution and refined to a crystallographic R factor of 17.6%. The rms deviation from ideality in bond lengths is 0.018 A and in bond angles is 2.8 degrees. The largest structural differences between HIV-1 and HIV-2 proteases are located at residues 15-20, 34-40, and 65-73, away from the flap region and the substrate binding sites. The rms distance between equivalent C alpha atoms of HIV-1 and HIV-2 protease structures excluding these residues is 0.5 A. The shapes of the S1 and S2 pockets in the presence of this inhibitor are essentially unperturbed by the amino acid differences between HIV-1 and HIV-2 proteases. The interaction of the inhibitor with HIV-2 protease is similar to that observed in HIV-1 protease structures. The unprotected N terminus of the inhibitor interacts with the side chains of Asp-29 and Asp-30. The glutamate side chain of the inhibitor forms hydrogen bonds with the main-chain amido groups of residues 129 and 130.
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http://dx.doi.org/10.1073/pnas.90.18.8387 | DOI Listing |
J Food Sci
January 2025
College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin, China.
Infant formulas are constantly being updated and upgraded, and N-glycans are functional glycans that have not been fully exploited to date. Commercial whey protein materials are often used as basic ingredients in infant formulas. Therefore, it is important to study N-glycans in commercial whey protein materials.
View Article and Find Full Text PDFChemMedChem
January 2025
Université de Montpellier: Universite de Montpellier, IBMM, Pôle Chimie Balard, Campus CNRS, 34093, Montpellier, FRANCE.
After more than 15 years of decline, the Malaria epidemy has increased again since 2017, reinforcing the need to identify drug candidates active on new targets involved in at least two biological stages of the Plasmodium life cycle. The SUB1 protease, which is essential for parasite egress in both hepatic and blood stages, would meet these criteria. We previously reported the structure-activity relationship analysis of α-ketoamide-containing inhibitors encompassing positions P4-P2'.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Department of Peptide Therapeutics, Genentech, South San Francisco, CA 94080, USA.
mRNA display is an effective tool to identify high-affinity macrocyclic binders for challenging protein targets. The success of an mRNA display selection is dependent on generating highly diverse libraries with trillions of peptides. While translation elongation can canonically accommodate the 61 proteinogenic triplet codons, translation initiation is restricted to the native start codon AUG.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Department of Refractory Viral Diseases, National Center for Global Health and Medicine Research Institute, 1-21-1 Toyama, Shinjuku-ku, Tokyo 162-8655, Japan.
We identified a 5-fluoro-benzothiazole-containing small molecule, TKB272, through fluorine-scanning of the benzothiazole moiety, which more potently inhibits the enzymatic activity of SARS-CoV-2's main protease (M) and more effectively blocks the infectivity and replication of all SARS-CoV-2 strains examined including Omicron variants such as SARS-CoV-2 and SARS-CoV-2 than two M inhibitors: nirmatrelvir and ensitrelvir. Notably, the administration of ritonavir-boosted nirmatrelvir and ensitrelvir causes drug-drug interactions warranting cautions due to their CYP3A4 inhibition, thereby limiting their clinical utility. When orally administered, TKB272 blocked SARS-CoV-2 replication without ritonavir in B6.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Global Security Computing Applications Division, Lawrence Livermore National Laboratory, Livermore, CA, United States.
Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement physics-based computational modeling such as molecular docking for virtual high-throughput screening. Despite recent advances and improved predictive performance, most methods in this category primarily rely on utilizing co-crystal complex structures and experimentally measured binding affinities as both input and output data for model training.
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