Model code, digitised source data and figure scripts for a forward model of deposit formation in granular corneal dystrophy type 2 (TGFBI R124H), treated as precipitation of a slightly supersaturated protein in a curved, partly non-renewing tissue rather than as a protein-folding disease. The work has no experimental d...
Sejun Kim· Zenodo (CERN European Organi...· 0 citations
The SYBR Green-based qPCR method established in this study demonstrated high specificity and sensitivity, providing a reliable tool for rapid EAPV diagnosis and epidemiological investigations.
Han-Ye Zhou, Jie Zhang, Yu Li et al.· PLoS ONE· 0 citations
Decades of clinical trials targeting amyloid-beta plaques and tau tangles have yielded minimal therapeutic reversal in Alzheimer’s disease. Recent structural biology demonstrates that by the time macroscopic protein aggregates appear, the neuron’s fundamental information-processing highway—the microtubule lattice—has a...
Viktor Dyment· Zenodo (CERN European Organi...· 0 citations
The pYGAL1-Sed1p-eGFP-C system not only provides a robust and highly efficient chassis for displaying eGFP but also holds significant promise as a versatile scaffold for the surface presentation of diverse heterologous proteins in yeast, thereby expanding the utility of YSD in biotechnology and synthetic biology.
Zhi-Hao Yu, Fa-Long Jiang, Wen-Yue Ni et al.· Applied Sciences· 0 citations
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Sample preparation in bioanalysis can require significant numbers of (manual) steps and consumables. Such procedures can be bottlenecks regarding cost, throughput, and greenness. This is also the case for analysis of new approach methodologies (NAMs) such as organoids and organ-on-a-chip systems. In this context, appro...
Marcus Kamande, Julie Bekkhus, Stian Kogler et al.· Analytical and Bioanalytical...· 0 citations
Blood is the primary source of protein biomarkers because it is readily accessible and reflects both physiological and pathological changes. However, ion suppression by high-abundance plasma proteins has long limited the coverage of mass spectrometry (MS)-based proteomics. Recent advances in nanomaterial-based enrichme...
Chuanping Zhao, Huiting Hu, Xiaoxi Dong et al.· 0 citations
ABSTRACT Glycan-binding proteins (GBP) are among the most difficult to drug targets. This deficiency delays clinical progress for therapeutically important GBPs. We employed bicyclic genetically encoded libraries (BiGELs), produced by chemical modification of phage-displayed libraries of peptides with two-fold symmetri...
Danial Yazdan, A. Michael Downey, Ana Gimeno et al.· Journal of the American Chem...· 0 citations
In the absence of compartments separating and organizing their subcellular content, prokaryotic cells rely on the homeostasis of cytoplasm fluidity for proper spatiotemporal distribution and function of biomolecular complexes. In this thesis, I implemented a fluorescence single-particle tracking method to infer viscoel...
This work presents CROWN (Curated Repository Of Well-resolved Non-covalent interactions), a machine-learning–ready dataset that reconciles scale and rigor through a fully automated preprocessing pipeline and can in principle support any model that learns from or is evaluated against protein–ligand complex structures.
Robin Poelmans, Wout Van Eynde, Bence Bruncsics et al.· bioRxiv· 1 citation
Findings establish m1A58 as a conformational checkpoint coupling human initiator-tRNA maturation to translation initiation and stress responses, and establish m1A58 as a conformational checkpoint coupling human initiator-tRNA maturation to translation initiation and stress responses.
Hao Li, Xing Wu, You Zhou et al.· bioRxiv· 0 citations
HFS turns a classical heat field into a practical interface for multiscale geometric analysis in modern point-cloud learning, and introduces the Heat Dimension Spectrum (HDS), a compact summary of multiscale geometric composition.
Yuan-Qing Wang, Ya-Peng Tian, B. Coskunuzer· 0 citations
A new computational pipeline is suggested which combines Molecular Dynamics simulations with Generative Deep Learning in the de novo design of small-molecule enzyme modulators to inhibit important proteins in nitrogen and energy metabolism to prove MD-guided generative design is a potent paradigm to develop precision l...
Unknown authors· Journal of Education for Pur...· 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.
