research Proteolysis‐Targeting Chimera (PROTAC): Current Applications and Future Directions
PROTACs offer new ways to treat hard-to-target diseases, with promising drugs for cancer in advanced trials.
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270-300 / 1000+ resultsresearch Carbobenzoxy-capped Phe-Lys(BODIPY TMR-X-acyloxymethyl ketone(QSY7)
Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.
research Epimorphin and Epithelial Morphogenesis
Epimorphin helps shape and develop epithelial cells, like those in hair follicles.
research Immunolocalization of Epidermal Growth Factor Receptors in Normal Developing Human Skin
research Unique amino acid signatures that are evolutionarily conserved distinguish simple-type, epidermal and hair keratins
Different keratin types have unique amino acid patterns that are evolutionarily conserved.
research The deduced sequence of the novel protransglutaminase E (TGase3) of human and mouse
Human and mouse TGase3 enzymes are similar but differ near the activation site, crucial for their function in skin and hair development.
research Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research De Novo Design of Anti-Aging Peptides
New peptides can delay aging and improve cell function.
research Sequence, expression, and evolutionary conservation of a gene encoding a glycine/tyrosine-rich keratin-associated protein of hair.
KAP6 genes are conserved across species and active in hair follicles.
research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research Proteomics as a tool to improve novel insights into skin diseases: what we know and where we should be going
Proteomics combined with other technologies can lead to a better understanding of skin diseases.
research Abstract 2205: KRTAP 2-3 is a novel potential biomarker of cells in the polyaneuploid cancer cell (PACC) state to predict cancer recurrence
KRTAP2-3 could help predict cancer recurrence by identifying specific cancer cells.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Trichohyalin: Purification from Porcine Tongue Epithelium and Characterization of the Native Protein
research PEG-Immobilized Keratin for Protein Drug Sequestration and pH-Mediated Delivery
PEG and keratin scaffolds can effectively deliver protein drugs by controlling release based on pH levels.
research Coming of Age of Melanogenesis-Related Proteins
Tyrosinase and gp100 proteins can help diagnose and treat melanoma.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators
PROTACs show promise in cancer treatment by effectively degrading specific harmful proteins.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Clinical Translation of Targeted Protein Degraders
Targeted protein degraders show promise in treating cancer but need to target more diverse proteins.
research Human Epidermal Transglutaminase
The enzyme is crucial for skin cell development and can be activated without proteolytic activation.
research Increased Expression of TSPEAR in Colorectal Cancer Predicts Poor Prognosis
High TSPEAR levels in colorectal cancer predict worse outcomes.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Regulated Proenkephalin Expression in Human Skin and Cultured Skin Cells
Human skin cells produce proenkephalin, which changes with environmental factors and skin diseases.
research Characterisation, genomic organisation, expression and function of the mEphA1 receptor Tyrosine Kinase
mEphA1 receptor tyrosine kinase is important for skin and hair development and may play a role in certain diseases.
research Protein Microarrays
Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
research Increased Expression of TSPEAR in Colorectal Cancer Predicts Poor Prognosis
High TSPEAR levels in colorectal cancer predict worse outcomes.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.