research De novo designed bifunctional proteins for targeted protein degradation
Newly designed proteins can effectively degrade specific proteins in cells, offering a promising alternative for targeted protein degradation.
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570-600 / 1000+ results research Fully automated chip-based nanoelectrospray ionization-mass spectrometry as an effective tool for rapid and high-throughput screening of 5α-reductase inhibitors
research In Situ Self-Assembling Liver Spheroids with Synthetic Nanoscaffolds for Preclinical Drug Screening Applications
PCL nanoscaffold-based liver spheroids are effective for drug screening and studying liver toxicity.
research Past and Future Strategies for GPCR Deorphanization
Finding functions for unknown GPCRs is hard but key for making new drugs.
research De Novo Design of Anti-Aging Peptides
New peptides can delay aging and improve cell function.
research Structural and dynamic insights into substrate binding and catalysis of human lipocalin prostaglandin D synthase
The research explains how a human enzyme binds and processes its substrate, which could relate to its role in biological functions and hair loss.
research Drug Discovery Insights from a Computational QSAR Study on Alpha-Reductase Inhibitors and Layered Double Hydroxides Electrocatalysts
Computational techniques can improve drug development for treating certain conditions.
research Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development
A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.
research Characterisation of Myotonic Dystrophy type I cell models and drug evaluation by a cell- based quantification platform.
Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.
research Three-dimensional modelling of interchain sequence similarities and differences in the coiled-coil segments of keratin intermediate filament heterodimers highlight features important in assembly
Keratin heterodimers are preferred for their specific and structural advantages.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research VIBRATIONAL SPECTROSCOPIC INVESTIGATION AND MOLECULAR STRUCTURE OF A 5α-REDUCTASE INHIBITOR: FINASTERIDE
Finasteride's molecular properties and active sites were identified using computational methods.
research PROTACs: A novel strategy for cancer drug discovery and development
PROTAC technology shows promise for cancer treatment but needs more effective E3 ligase recruiters.
research Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
research Discovery of COVID-19 Inhibitors Targeting the SARS-CoV2 Nsp13 Helicase
Two existing drugs may help treat COVID-19 by inhibiting a key viral protein.
research Three strands ironed closely together
A new method was developed to create complex molecular knots using iron ions.
research Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
research Docking-based workflow and ADME prediction of some compounds in Curcuma longa and Andrographis paniculata as polymerase PA-PB1 inhibitors of influenza A/H5N1 virus
Compounds from turmeric and bitter show strong potential as antiviral agents against the influenza A virus.
research Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research Engineering of Recombinant Fortilin for Structure Activity Studies
The research developed new fortilin protein constructs for potential heart disease treatments.
research Development of 3-D Microbioreactor Systems for Cell-Based High Throughput Screening
A new 3-D bioreactor system improves drug screening and reduces animal testing.
research Virtual Screening for the Discovery of Microbiome β-Glucuronidase Inhibitors to Alleviate Cancer Drug Toxicity
New inhibitors may reduce gut toxicity from cancer drugs.
research Investigation of intermolecular interactions in finasteride drug crystals in view of X-ray and Hirshfeld surface analysis
Finasteride crystals are held together by hydrogen bonds and weak interactions, forming synthon pseudopolymorphs.
research Identifying SARS-CoV-2 entry inhibitors through drug repurposing screens of SARS-S and MERS-S pseudotyped particles
Six existing drugs may help block virus entry in COVID-19.
research Two-ligand priming mechanism for potentiated phosphoinositide synthesis is an evolutionarily conserved feature of Sec14-like phosphatidylinositol and phosphatidylcholine exchange proteins
A protein in plants needs to bind two lipids to help with root hair growth, and this process is similar across different plant species.
research De Novo design of a potent Wnt Surrogate specific for the frizzled7 subtype members
A new Wnt surrogate specifically targets the Frizzled7 receptor, promoting organoid formation and hair growth.
research Hair keratin molecular dynamics studies
Simulations of hair keratin help improve disease treatment and cosmetic products.
research Discovery and Optimization of Novel Pyridines as Highly Potent and Selective Glycogen Synthase Kinase 3 Inhibitors
New pyridine compounds effectively inhibit GSK3, a diabetes treatment target.
research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.
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.