In vitro biological activity of the generic drug Vapromin® is comparable to that of Evrysdi® (Roche, Basel, Switzerland) and further research should be conducted to confirm bioequivalence between the two products.
O. Strizhakova, A. Pershin, Yana Bahareva et al.· Biomedicines· 0 citations
Psychrophilic enzymes can have improved functionalities in low temperatures, which may be useful for improving the efficiency or sustainability of certain industrial processes. Little is known about the structure-function relationships of cold-adapted enzymes. In particular, the existence of pepsin-like proteases which...
Leslie Huynh· cIRcle (University of Britis...· 0 citations
Given the rapid spread of antibiotic resistance worldwide, it is imperative to develop new strategies against pathogenic bacteria. Here, we report a small-molecule inhibitor of bacterial heat shock protein 70 (Hsp70), called DnaK, a central component of the bacterial protein chaperone network. Screening of an in-house...
Tulsi Upadhyay, Reshma Kumari, Yogesh M. Gangarde et al.· ChemBioChem· 0 citations
Multidimensional machine-learning models predicted 48 h pediatric extubation success with strong internal discrimination and a low-severity phenotype and a high-severity phenotype were identified.
Ferhat Sarı, A. Aliyeva· Children· 1 citation
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Binding of ligands to partially or fully unfolded proteins can play a key role in the mechanism of cellular and pharmacological chaperones, facilitating proper folding. However, it is challenging to quantify the binding affinity of ligands for unfolded states in a protein that is normally folded, as the methods standar...
Shubhadeep Patra, C. Garen, M. Woodside· bioRxiv· 0 citations
Together AAV-FST and VEGF therapy enhanced local muscle hypertrophy, increased capillary density, and improved the muscle-to-liver transgene expression profile compared with AAV-FST monotherapy, which supports further evaluation of angiogenic preconditioning as a strategy to improve muscle-directed gene therapy for mus...
A. Vakhrusheva, A. Nedorubov, V. Leshko et al.· bioRxiv· 0 citations
The analysis resolves an expanded BECR-fold landscape comprising canonical BECR and BECR-like superfamilies, refines the organization of canonical BECR proteins and identifies previously unrecognized families, and expands and clarify the BECR-fold landscape.
Kristi Pham, Gianlucca G. Nicastro, Audrey R. Long et al.· bioRxiv· 0 citations
A sequence-derived thermodynamic framework is introduced that maps proteins according to the relative contributions of backbone conformational entropy and solvent entropy to elastic recoil, suggesting that elastic function is far more widespread than currently recognized.
Rhea P. Desai, D. Pople, Shreyas Jain et al.· bioRxiv· 0 citations
In male mice with established two-hit HFpEF, autotaxin inhibition improved diastolic indices and reduced fibrosis, hypertrophy and cardiac myeloid accumulation and the autotaxin–LPA axis is nominated as a tractable therapeutic target.
Rajesh Chaudhary, Andrew Robbins, A. Singh et al.· bioRxiv· 0 citations
Background/Objectives: The rapid emergence of SARS-CoV-2 variants that evade neutralizing antibodies underscores the need for new antiviral biologics that integrate precise molecular design with scalable, cost-effective manufacturing. Computationally designed miniproteins targeting the spike protein’s receptor-binding...
Jinhwan Shin, Eu-min Kim, Jun-Hong Jang et al.· Pharmaceutics· 0 citations
This preprint introduces the molecular and biochemical extension of The Bell TowerArchitecture. By taking the asymptotic limit (ε → 0) of the discrete lattice Z^3, we define acontinuous rigid field Φ(z) governed by Weierstrass infinite products and Mittag-Leffler expansions. This geometric framework replaces traditiona...
Silvio Gabbianelli· Zenodo (CERN European Organi...· 0 citations
This paper introduces an innovative framework for analyzing and optimizing fractal networks, leveraging the concept of 'Symmetry Metric' to guide network design. We propose a novel method for quantifying network structure using a mathematical definition of self-similarity and employing this metric to optimize network p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.