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http://dx.doi.org/10.1021/jm00352a002 | DOI Listing |
Curr Issues Mol Biol
January 2025
Amity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur 303002, Rajasthan, India.
Background: Colorectal cancer (CRC) is a complex and increasingly prevalent malignancy with significant challenges in its treatment and prognosis. This study aims to explore the role of the SLC4A4 transporter as a biomarker in CRC progression and its potential as a therapeutic target, particularly in relation to tumor acidity and immune response.
Methods: The study utilized computational approaches, including receptor-based virtual screening and high-throughput docking, to identify potential SLC4A4 inhibitors.
Biosens Bioelectron
March 2025
Department of Chemistry "Ugo Schiff', University of Florence, Via della Lastruccia, 3-13, 50019, Sesto Fiorentino, Italy. Electronic address:
Bio-Layer Interferometry (BLI) has emerged as a versatile technique in affinity-based biosensing, analogous to Surface Plasmon Resonance. BLI enables real-time, label-free detection, and quantification of biomolecular interactions between an immobilized receptor and an analyte in solution. The BLI sensor comprises an optical fiber with an internal reference layer at the end and an external biocompatible layer where biological receptors are immobilized and exposed to the solution.
View Article and Find Full Text PDFBioelectrochemistry
December 2024
Louisiana Cancer Research Center, School of Medicine, 1700 Tulane Ave, New Orleans, Louisiana 70112, USA.
The folate receptor (FR) is a well-known biomarker that is overexpressed in many cancer cells, making it a valuable target for cancer diagnostics and therapeutic strategies. However, identifying cancer biomarkers remains a challenge due to factors such as lengthy procedures, high costs, and low sensitivity. This study presents the development of a novel, cost-effective biosensor designed for the detection of FR.
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
Receptor-based biosensors often suffer from slow analyte diffusion, leading to extended assay times. Moreover, existing methods to enhance diffusion can be complex and costly. In response to this challenge, we presented a rapid and cost-effective technique for fabricating concave magnetic-responsive hydrogel discs (CMDs) by straightforward pipetting directly onto microscope glass slides.
View Article and Find Full Text PDFTher Adv Vaccines Immunother
December 2024
Department of Biochemistry, Sahiwal Medical College, Sahiwal, Pakistan.
Using artificial intelligence (AI) to enhance chimeric antigen receptor (CAR)-based therapies' design, production, and delivery is a novel and promising approach. This review provides an overview of the current applications and challenges of AI for CAR-based therapies and suggests some directions for future research and development. This paper examines some of the recent advances of AI for CAR-based therapies, for example, using deep learning (DL) to design CARs that target multiple antigens and avoid antigen escape; using natural language processing to extract relevant information from clinical reports and literature; using computer vision to analyze the morphology and phenotype of CAR cells; using reinforcement learning to optimize the dose and schedule of CAR infusion; and using AI to predict the efficacy and toxicity of CAR-based therapies.
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