AIMC Topic: Programmed Cell Death 1 Receptor

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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...
Male Gene Expression Profiling Transcriptome Cell Line, Tumor Female Colorectal Neoplasms Tumor Microenvironment CD8-Positive T-Lymphocytes Amino Acids Programmed Cell Death 1 Receptor Tumor Escape Single-Cell Analysis Gene Expression Regulation, Neoplastic Lymphocytes, Tumor-Infiltrating Humans Prognosis
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Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Immunopharmacology and immunotoxicology Nov 22, 2024
BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective managem...
Female Aged Aged, 80 and over Adult Humans Machine Learning Algorithms Immune Checkpoint Inhibitors B7-H1 Antigen Programmed Cell Death 1 Receptor Drug Eruptions Male Middle Aged Neoplasms
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Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation.

International journal of biological macromolecules Oct 15, 2024
Molecular design of small-molecule inhibitors targeting programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) pathway has been recognized as an active research area by the clinical success of cancer immunotherapy. In recent years, usi...
Drug Design Signal Transduction Humans Immune Checkpoint Inhibitors Molecular Dynamics Simulation Programmed Cell Death 1 Receptor Machine Learning B7-H1 Antigen Ligands Small Molecule Libraries Molecular Docking Simulation
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A multi-task deep learning model based on comprehensive feature integration and self-attention mechanism for predicting response to anti-PD1/PD-L1.

International immunopharmacology Sep 12, 2024
BACKGROUND: Immune checkpoint inhibitor (ICI) has been widely used in the treatment of advanced cancers, but predicting their efficacy remains challenging. Traditional biomarkers are numerous but exhibit heterogeneity within populations. For comprehe...
Humans Biomarkers, Tumor Neoplasms B7-H1 Antigen Programmed Cell Death 1 Receptor Deep Learning Immune Checkpoint Inhibitors
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A two-stage ensemble learning based prediction and grading model for PD-1/PD-L1 inhibitor-related cardiac adverse events: A multicenter retrospective study.

Computer methods and programs in biomedicine Aug 5, 2024
BACKGROUND: Immune-related cardiac adverse events (ircAEs) caused by programmed cell death protein-1 (PD-1) and programmed death-ligand-1 (PD-L1) inhibitors can lead to fulminant and even fatal consequences. This study aims to develop a prediction an...
Peptide Fragments Programmed Cell Death 1 Receptor Natriuretic Peptide, Brain ROC Curve Immune Checkpoint Inhibitors B7-H1 Antigen Machine Learning Algorithms Retrospective Studies Male Middle Aged Female Aged Humans
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Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer.

Journal of translational medicine May 8, 2024
BACKGROUND: Advanced unresectable gastric cancer (GC) patients were previously treated with chemotherapy alone as the first-line therapy. However, with the Food and Drug Administration's (FDA) 2022 approval of programmed cell death protein 1 (PD-1) i...
Humans Retrospective Studies Female Stomach Neoplasms Male Aged Adult Middle Aged Programmed Cell Death 1 Receptor Immune Checkpoint Inhibitors Deep Learning Treatment Outcome ROC Curve
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Machine learning-based integration develops a stress response stated T cell (Tstr)-related score for predicting outcomes in clear cell renal cell carcinoma.

International immunopharmacology Apr 9, 2024
BACKGROUND: Establishment of a reliable prognostic model and identification of novel biomarkers are urgently needed to develop precise therapy strategies for clear cell renal cell carcinoma (ccRCC). Stress response stated T cells (Tstr) are a new T-c...
Programmed Cell Death 1 Receptor Kidney Neoplasms Carcinoma, Renal Cell Middle Aged Immune Checkpoint Inhibitors Nomograms Female Biomarkers, Tumor T-Lymphocytes Humans Male Machine Learning Prognosis
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Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers.

Journal of advanced research Jan 26, 2024
INTRODUCTION: Small-molecule Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD1/PDL1) inhibition via PDL1 dimerization has the potential to lead to inexpensive drugs with better cancer patient outcomes and milder side effects. However...
B7-H1 Antigen Programmed Cell Death 1 Receptor Protein Multimerization Patents as Topic Humans Machine Learning Drug Design
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Study on the allosteric activation mechanism of SHP2 elastic network models and neural relational inference molecular dynamics simulation.

Physical chemistry chemical physics : PCCP Sep 13, 2023
As a ubiquitous protein tyrosine phosphatase, SHP2 is involved in PD-1/PD-L1 mediated tumor immune escape and undergoes substantial conformational changes. Therefore, it is considered an ideal target for tumor intervention. However, the allosteric me...
Artificial Intelligence Molecular Dynamics Simulation Programmed Cell Death 1 Receptor Allosteric Regulation Protein Tyrosine Phosphatase, Non-Receptor Type 11
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Probing the origins of programmed death ligand-1 inhibition by implementing machine learning-assisted sequential virtual screening techniques.

Molecular diversity Jul 20, 2023
PD-L1 is a key immunotarget involved in binding to its receptor PD-1. PD-L1/PD-1 interface blocking using antibodies (or small molecules) is the central area of interest for tumor suppression in various cancers. Blocking the PD-L1/PD-1 pathway in the...
Programmed Cell Death 1 Receptor Quantitative Structure-Activity Relationship Immune Checkpoint Inhibitors Humans B7-H1 Antigen Machine Learning Molecular Dynamics Simulation Molecular Docking Simulation
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