AIMC Topic: Amino Acids
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A novel UHPLC-HRMS method for simultaneous determination of 20 amino metabolites and proteins in lymphoma patients' cells and serum.
Scientific reports
Jul 1, 2025
Highly sensitive and selective monitoring of amino metabolites such as glutamine, arginine, tryptophan and related proteins played significant roles in early diagnosis and warning of lymphoma. But those limited abundance and lacked chromophore group ...
Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.
PloS one
Jun 27, 2025
Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, and HLA-C genes in humans, are expressed on all nucleated cells. Both self and foreign proteins are processed to peptides of 8-10 amino acids, loaded ...
Fecal gut microbiota and amino acids as noninvasive diagnostic biomarkers of Pediatric inflammatory bowel disease.
Gut microbes
Jun 12, 2025
BACKGROUND AND AIMS: Fecal calprotectin (FCP) has limited specificity as diagnostic biomarker of pediatric inflammatory bowel disease (IBD), leading to unnecessary invasive endoscopies. This study aimed to develop and validate a fecal microbiota and ...
EMOCPD: Efficient Attention-Based Models for Computational Protein Design Using Amino Acid Microenvironment.
Journal of chemical information and modeling
May 26, 2025
Computational protein design (CPD) refers to the use of computational methods to design proteins. Traditional methods relying on energy functions and heuristic algorithms for sequence design are inefficient and do not meet the demands of the big data...
Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancer.
Frontiers in immunology
May 22, 2025
INTRODUCTION: Colorectal cancer (CRC), the third most common cancer worldwide, often shows limited responsiveness to immunotherapy due to its predominantly immune-excluded phenotype. Despite increasing insights into the complex tumor microenvironment...
Programmed Cell Death 1 Receptor
Tumor Escape
Lymphocytes, Tumor-Infiltrating
CD8-Positive T-Lymphocytes
Amino Acids
Humans
Single-Cell Analysis
Tumor Microenvironment
Prognosis
Gene Expression Regulation, Neoplastic
Male
Female
Transcriptome
Gene Expression Profiling
Colorectal Neoplasms
Cell Line, Tumor
Altered aminoacid and lipid metabolism in a rat orofacial inflammation model determined by omics approach: potential role in trigeminal sensitisation.
The journal of headache and pain
May 8, 2025
BACKGROUND: Trigeminal activation and sensitisation involved in chronic inflammatory orofacial pain share several similarities with headaches, including migraine. Therefore, understanding the pathophysiological mechanisms is important to determine no...
Predicting biomolecule adsorption on nanomaterials: a hybrid framework of molecular simulations and machine learning.
Nanoscale
May 2, 2025
The adsorption of biomolecules on the surface of nanomaterials (NMs) is a critical determinant of their behavior, toxicity, and efficacy in biological systems. Experimental testing of these phenomena is often costly or complicated. Computational appr...
ShenJiaoLingCao decoction ameliorates cyclophosphamide-induced splenic injury and immunosuppression via the inhibition of MEK/ERK signaling pathway activity and modulation of amino acid metabolism.
Journal of ethnopharmacology
Apr 16, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: ShenJiaoLingCao Decoction (SJLCD) is derived from the classic Chinese medicine prescription, which consists of ten kinds of herbs. In China, SJLCD has been used as an immunomodulator in clinical practice for more than ...
A machine learning approach fusing multisource spectral data for prediction of floral origins and taste components of Apis cerana honey.
Food research international (Ottawa, Ont.)
Feb 25, 2025
This study explores the use of near-infrared (NIR), mid-infrared (MIR), and Raman spectral fusion for the rapid prediction of floral origins and main taste components in Apis cerana (A. cerana) honey. Feature-level fusion with the partial least squar...
Clinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma.
European journal of nuclear medicine and molecular imaging
Jan 17, 2025
PURPOSE: Radiomics-based machine learning (ML) models of amino acid positron emission tomography (PET) images have shown efficiency in glioma prediction tasks. However, their clinical impact on physician interpretation remains limited. This study inv...
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