Sökning: "drug discovery"

Visar resultat 1 - 5 av 86 uppsatser innehållade orden drug discovery.

  1. 1. Machine learning for molecular property prediction and drug safety

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Kinga Jenei; [2023-10-23]
    Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER

  2. 2. Hur hanteras missbruksproblem på arbetsplatsen? En kvalitativ studie om HR- och personalchefers strategier att hantera personal med missbruksproblematik

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Christian Svensson; Selma Mattsson; [2023-09-13]
    Nyckelord :education; rehabilitation; prevention; substance abuse problem;

    Sammanfattning : The purpose of this study was to investigate what strategies HR and managers with staff responsibilities use to detect, rehabilitate and prevent alcohol- and drug abuse in the workplace. Furthermore, if these strategies differ when employees work remotely or from the office. LÄS MER

  3. 3. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Sara Forsberg; [2023]
    Nyckelord :High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Sammanfattning : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. LÄS MER

  4. 4. Analyzing the performance of active learning strategies on machine learning problems

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Vendela Werner; [2023]
    Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

  5. 5. Acoustic Focusing of Lysozyme Crystals

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Måns Junestrand; [2023]
    Nyckelord :Protein Crystals; Lysozyme Crystals; Ultrasound; Acoustic Focusing; SFX; Biomedical Physics; Proteinkristaller; Ultraljud; Lysozymkristaller; Akustisk fokusering; SFX; Biomedicinsk fysik;

    Sammanfattning : Acoustic focusing of microscale protein crystals with acoustophoresis technology could reduce clogs during experiments with the scientific technique serial femtosecond x-ray crystallography (SFX). SFX determines molecular structures of proteins, these structures are valuable in drug discovery and fundamental biomedical research. LÄS MER