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Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry.
J Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFGraph convolution network-based eeg signal analysis: a review.
Med Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
View Article and Find Full Text PDFUnlocking 3D printing technology for microalgal production and application.
Adv Biotechnol (Singap)
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Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, and Center for Algae Innovation & Engineering Research, School of Resources and Environment, Nanchang University, Nanchang, 330031, China.
Microalgae offer a promising alternative for sustainable nutritional supplements and functional food ingredients and hold potential to meet the growing demand for nutritious and eco-friendly food alternatives. With the escalating impacts of global climate change and increasing human activities, microalgal production must be enhanced by reducing freshwater and land use and minimizing carbon emissions. The advent of 3D printing offers novel opportunities for optimizing microalgae production, though it faces challenges such as high production costs and scalability concerns.
View Article and Find Full Text PDFTopical Medications for Chronic Itch in Older Patients: Navigating a Pressing Need.
Drugs Aging
January 2025
Department of Dermatology, University of Texas Health Science Center, 7979 Wurzbach Rd, Grossman 3rd FL, San Antonio, TX, 78229, USA.
Chronic itch in older patients is a common problem, with a significant impact on quality of life. Chronic itch in the older population may be attributable to several causes, such as age-related changes, skin conditions, systemic conditions, medications, and psychological conditions. Given the complexity of itch in this population, comorbidities, and polypharmacy in most geriatric patients, treating chronic itch can be challenging for healthcare providers.
View Article and Find Full Text PDFA 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.
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