HLA-DQA1*03:01:06 differs from HLA-DQA1*03:01:01:01 by one nucleotide substitution in codon 9 in exon 2.
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We present a directed electrostatics strategy integrated as a graph neural network (DESIGNN) approach for predicting stable nanocluster structures on their potential energy surfaces (PESs). The DESIGNN approach is a graph neural network (GNN)-based model for building structures of large atomic clusters with specific sizes and point-group symmetry. This model assists in the structure building of atomic metal clusters by predicting molecular electrostatic potential (MESP) topography minima on their structural evolution paths.
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Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
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College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong Province, China.
Extensive research has investigated the etiology of Crohn's disease (CD), encompassing genetic predisposition, lifestyle factors, and environmental triggers. Recently, the gut microbiome, recognized as the human body's second-largest gene pool, has garnered significant attention for its crucial role in the pathogenesis of CD. This paper investigates the mechanisms underlying CD, focusing on the role of 'creeping fat' in disease progression and exploring emerging therapeutic strategies, including fecal microbiota transplantation, enteral nutrition, and therapeutic diets.
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