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The M1 and M17 aminopeptidases are metallo-exopeptidases that rely on the presence of divalent cations, usually zinc, in their active site for proteolytic activity. They are from separate protease superfamilies, however, members often have overlapping substrate specificity. Inhibitors of one or both enzymes can be used to modulate hypertension, reduce proliferation of certain types of cancers and control malaria parasites. Current inhibitors act to chelate the zinc ions in the active site, locking the enzymes in an inactive transition state. We were interested in using a computational approach to understand the structure and dynamics of the M1 and M17 aminopeptidases, however, the presence of the essential metal ions in the proteases presents a challenge to classical molecular dynamics (MD) simulation. The zinc amber force field does not contain applicable descriptions of the zinc coordination environment present in either of these two protease families. To provide tools for the study of these two enzymes, we have used the metal centre parameter builder to generate new hybrid bonded/nonbonded force field (FF) parameters to correctly describe the active site architecture for each enzyme. The new parameters were evaluated by fitting the normal mode frequencies of molecular mechanics to the quantum mechanics frequencies and validated by performing short MD simulations. The new FF parameters now enable more accurate and reliable MD simulations for any member of the M1 or M17 aminopeptidase superfamilies.
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http://dx.doi.org/10.1080/07391102.2017.1364669 | DOI Listing |
Lab Chip
September 2025
Department of Mechanical Systems Engineering, Graduate School of Systems Design, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji, Tokyo, 192-0397, Japan.
Cell sorting is an important fundamental process for the selection and purification of target cell types for cell analysis in the life sciences and medical fields. In particular, demand is increasing for high-throughput cell sorting technology for the analysis of rare cells. Toward this end, we developed a centrifugal force-based cell sorting technique that relies on the adhesion force of cells as a marker.
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
August 2025
Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Objectives: To synthesize a temperature-responsive multimodal motion microrobot (MMMR) using temperature and magnetic field-assisted microfluidic droplet technology to achieve targeted drug delivery and controlled drug release.
Methods: Microfluidic droplet technology was utilized to synthesize the MMMR by mixing gelatin with magnetic microparticles. The microrobot possessed a magnetic anisotropy structure to allow its navigation and targeted drug release by controlling the temperature field and magnetic field.
J Biomed Mater Res B Appl Biomater
September 2025
Contipro a.s., Czech Republic.
Drug delivery to the central nervous system (CNS) is primarily hindered by the blood-brain barrier (BBB). To address this, mucoadhesive formulations have been designed to prolong residence time at the application site. In this study, we comprehensively characterized the physicochemical and mucoadhesive properties of hyaluronic acid tyramine (HATA) photocrosslinked hydrogels using rheological methods, nanoindentation, contact angle goniometry, and advanced confocal microscopy.
View Article and Find Full Text PDFClin Transl Oncol
September 2025
Spanish Society of Medical Oncology (SEOM) Thrombosis and Cancer Group, Madrid, Spain.
Purpose: To determine the real-world incidence and predictive factors for venous and arterial thromboembolic events (VTE/AT) in ovarian cancer patients treated with poly-(ADP-ribose) polymerase inhibitors (iPARP).
Methods/patients: A multicenter retrospective study involving 329 ovarian cancer patients who initiated iPARP treatment between January 2015 and December 2022. The primary outcome was the incidence of VTE/AT.
Angew Chem Int Ed Engl
September 2025
Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, USA.
A detailed understanding of the composition and polymerization mechanism of elemental sulfur remains a decades long unresolved question for modern chemistry. However, the dynamic nature of molten sulfur significantly complicates its accurate characterization. To overcome this challenge, we performed the first comprehensive molecular dynamics (MD) simulations using a ReaxFF reactive force field specifically parameterized to capture the complex ring-opening polymerization dynamics of elemental sulfur.
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