August 2015 in “MOJ proteomics & bioinformatics” ePUKs could be valuable for regenerative medicine due to their wound healing abilities.
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January 1992 in “Journal of Investigative Dermatology” 117 citations
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September 2003 in “Molecular & cellular proteomics” The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
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August 1987 in “The Journal of Dermatology” BKN-1 antibody targets specific keratin in basal cell epithelioma and normal skin basal cells.
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September 1985 in “Journal of Investigative Dermatology” 7 citations
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December 1970 in “Biochimica et Biophysica Acta (BBA) - Protein Structure” 5 citations
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July 2014 in “Molecular Biology Reports” 238 citations
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May 1989 in “Journal of Investigative Dermatology” 44 citations
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May 2023 in “MedComm” PROTAC technology shows promise for cancer treatment but needs more effective E3 ligase recruiters.
15 citations
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November 2022 in “Cell Death and Disease” CEP135 may predict cancer outcomes, and targeting PLK1 could help treat certain sarcomas.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
May 2010 in “Europe PMC (PubMed Central)” Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.
1 citations
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January 1992 in “DNA sequence” Researchers found a non-functional sheep keratin gene due to mutations.
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October 2019 in “Genes” A new sheep gene, KRTAP36-1, may help breed sheep with better wool by reducing prickle factor.
July 2025 in “PNAS Nexus” A new tool accurately identifies human cornea cell states and key factors.
Epimorphin helps shape and develop epithelial cells, like those in hair follicles.
1 citations
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February 2023 in “Pharmaceutics” Cell proteomic footprinting enhances cancer vaccine quality by ensuring correct antigen composition.
New peptides can delay aging and improve cell function.
1 citations
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September 2017 C-scores can help predict gain-of-function and loss-of-function mutations.
April 2023 in “Cancer research” KRTAP2-3 could help predict cancer recurrence by identifying specific cancer cells.
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December 2011 in “Journal of Cell Science” Different keratin types have unique amino acid patterns that are evolutionarily conserved.
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September 2012 in “Gene” The research identified a gene in sheep important for wool quality, which could help improve wool traits.
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August 2020 in “PLOS Computational Biology” 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.
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February 2025 in “Scientific Reports” MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
March 2026 in “Journal of Enzyme Inhibition and Medicinal Chemistry” PROTACs show promise in cancer treatment by effectively degrading specific harmful proteins.
June 2022 in “Frontiers in Genetics” Machine learning is effective in predicting gene functions and their relationships with diseases.
76 citations
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February 1993 in “Journal of Biological Chemistry” KAP6 genes are conserved across species and active in hair follicles.
118 citations
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June 1993 in “Journal of Biological Chemistry” Human and mouse TGase3 enzymes are similar but differ near the activation site, crucial for their function in skin and hair development.
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October 2025 in “MedComm” PROTACs offer new ways to treat hard-to-target diseases, with promising drugs for cancer in advanced trials.
19 citations
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May 2016 in “Biology Direct” A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.