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A simple and effective method to remove pigments from heterologous secretory proteins expressed in Pichia pastoris.
Adv Biotechnol (Singap)
February 2024
CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200030, China.
Pichia pastoris is a popular yeast host for high-level heterologous expression of proteins on an industrial scale owing to its reliable expression, robust growth, high fermentation density, and easy genetic manipulation and cultivation at a relatively low cost. Of particular interest is its high secretion efficiency for small proteins including insulin, human serum albumin, vaccines, enzymes, and llama-derived heavy-chain only antibodies (nanobodies) for pharmaceutical and research applications. However, a recurring challenge in using P.
View Article and Find Full Text PDFA spiking neural network for active efficient coding.
Front Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
View Article and Find Full Text PDFNovel Pyrrolidine-bearing quinoxaline inhibitors of DNA Gyrase, RNA polymerase and spike glycoprotein.
Bioorg Chem
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Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy (Girls), Al-Azhar University, Cairo 11754 Egypt. Electronic address:
Anti-infective agents are a class of drugs used to prevent, treat, or control infections caused by microorganisms such as bacteria, viruses, fungi, and parasites. They play a crucial role in modern medicine, helping to reduce the severity of infections and, in many cases, save lives. This study aims at the design and synthesis of hybrid compounds containing quinoxaline, pyrrolidine, and an azo bridge to combat antimicrobial resistance, and evaluating their antimicrobial, antifungal, and antiviral activities against various pathogenic strains.
View Article and Find Full Text PDFThe calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis.
PLoS Comput Biol
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Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Theoretical neuroscientists and machine learning researchers have proposed a variety of learning rules to enable artificial neural networks to effectively perform both supervised and unsupervised learning tasks. It is not always clear, however, how these theoretically-derived rules relate to biological mechanisms of plasticity in the brain, or how these different rules might be mechanistically implemented in different contexts and brain regions. This study shows that the calcium control hypothesis, which relates synaptic plasticity in the brain to the calcium concentration ([Ca2+]) in dendritic spines, can produce a diverse array of learning rules.
View Article and Find Full Text PDFThe role of oscillations in grid cells' toroidal topology.
PLoS Comput Biol
January 2025
Kavli Institute for Systems Neuroscience and Centre for Algorithms in the Cortex, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Persistent homology applied to the activity of grid cells in the Medial Entorhinal Cortex suggests that this activity lies on a toroidal manifold. By analyzing real data and a simple model, we show that neural oscillations play a key role in the appearance of this toroidal topology. To quantitatively monitor how changes in spike trains influence the topology of the data, we first define a robust measure for the degree of toroidality of a dataset.
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