research Pharmacological Effects of Natural Compounds Extracted from Urtica dioica Evaluated by in Silico and Experimental Methods
Nettle contains quercetin, a promising antioxidant and anti-aging agent.
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research 12-Methoxy Carnosic acid efficacy determinationand optimization through computational tools for 5alpha reductase enzyme and using finasteride as refrence molecule.
12-Methoxy carnosic acid from rosemary might be a good natural treatment for hair loss.
research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Progress in the Computer‐Aided Analysis in Multiple Aspects of Nanocatalysis Research
Computational technology advances nanocatalysis by improving design, synthesis, and detection methods.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
research A review on computer‐aided chemogenomics and drug repositioning for rationalCOVID ‐19 drug discovery
Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.
research In-silico studies in herbal drugs: A review
Computational methods can speed up and improve the development and safety of herbal drugs.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.
research Drug repositioning using in silico compound profiling
Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Drug repositioning: current approaches and their implications in the precision medicine era
Drug repositioning is becoming more targeted and efficient with new technologies, offering personalized treatment options and growing interest in the field.
research Drug Repurposing - Hypothesis, Molecular Aspects and Therapeutic Applications
Drug repurposing is a cost-effective way to find new uses for existing drugs, speeding up treatment development.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research The human gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs
The study developed a tool to predict how gut microbes process foods and drugs, showing that similar compounds often share metabolic pathways and effects.
research GC-MS Analysis and Phytochemical Screening of Indigofera tinctoria (Linn.) Leaf Extract Characterizing its Medicinal Use
Indigofera tinctoria leaf extract has many compounds that support its traditional medicinal uses.
research Recent advances in drug repositioning and rediscovery for different therapeutic activities utilizing updated technological approaches
Using existing drugs for new treatments is cost-effective and safer.
research In silico analysis of ethyl acetate Bruguiera gymnorhiza leaf extracts as an anti-inflammatory agent
Bruguiera gymnorhiza leaf extracts show potential for developing anti-inflammatory drugs.
research Comparing the delivery to the hair bulb of two fluorescent molecules of distinct hydrophilicities by different nanoparticles and a serum formulation
Serum formulations were better at delivering molecules to the hair bulb than nanoparticles.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research NOVEL CORONAVIRUS (SARS-COV-2): MOLECULAR BIOLOGY, PATHOGENESIS, PATHOBIOLOGY AND ADVANCES IN TREATMENT OF COVID-19 PATIENTS– AN UPDATE
COVID-19 is caused by a virus from bats, and efforts focus on prevention and treatment research.
research Novel prospectives of shikimic acid and Prunus mume extract for enhancing bioactivity on 5α-reductase and stability in cosmetic patches for acne treatment
Combining shikimic acid and Prunus mume extract may effectively treat acne naturally.
research Exploring murE protein inhibitors of Tropheryma whipplei through pharmacoinformatic approaches incorporating solubility-enhancing formulation insights
[6]-Gingerdiol 3-monoacetate shows promise for treating T. whipplei infections.
research In-silico screening of potential anti-androgenic and anti-estrogenic phytocompounds from Saraca asoca for polycystic ovary syndrome treatment
Procyanidin B2 and leucopelargonidin from Saraca asoca may help treat PCOS by balancing hormones.
research In Silico Screening of DrugBank Compounds as Potential Inhibitors for Human Steroid 5α-Reductase 2 for Androgen-Related Diseases
Stiripentol shows promise as a potential treatment for androgen-related diseases but needs more testing.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Computational Drug Discovery in Chemotherapy-induced Alopecia via Text Mining and Biomedical Databases
Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.