Sökning: "Candidate Drug"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden Candidate Drug.
1. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Beräkningsbiologi och bioinformatikSammanfattning : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. LÄS MER
2. A novel approach for functionalising and separating Tröger's Base Analogues
Master-uppsats, Lunds universitet/Centrum för analys och syntesSammanfattning : Tröger’s Base (TB) is a bicyclic compound containing a methanodiazocine group between two aromatic rings. The methylene bridge forces the molecule to have a bent formation; thus, the aromatic rings are close to 90 degrees relative to each other, resulting in a rigid concave aromatic cavity. LÄS MER
3. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. LÄS MER
4. Information and communications technology support for medication review in nursing home residents : Update of the OptiMEDs tool and an evaluation of the improvement of the new version
Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Institutionen för farmaciSammanfattning : Background: In older age polypharmacy is common due to a higher rate of chronic diseases. Taking multiple medications can result in drug related problems resulting in higher health care costs. LÄS MER
5. Benchmarking Machine Learning Methods for Peptide Activity Predictions
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired properties to make it a safe and efficient drug candidate. LÄS MER