Essays about: "drug"

Showing result 6 - 10 of 947 essays containing the word drug.

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

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Centrum för analys och syntes

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

    Abstract : 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. READ MORE

  4. 8. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Author : Erik Everett Palm; [2023]
    Keywords : bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Abstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE

  5. 9. Analyzing the performance of active learning strategies on machine learning problems

    University essay from Uppsala universitet/Avdelningen för systemteknik

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

    Abstract : 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. READ MORE

  6. 10. Systematic Multi-Parametric Analysis of Acute Myeloid Leukemia (AML) Flow Cytometry Drug Screens using Flowty

    University essay from Lunds universitet/Teknisk mikrobiologi

    Author : Augusta Jensen; [2023]
    Keywords : Acute myeloid leukemia; AML; cellular subpopulations; data analysis; precision medicine; Flowty; applied microbiology; Biology and Life Sciences;

    Abstract : Acute myeloid leukemia (AML) is a heterogeneous disease, making it difficult to treat. The standard treatment is intensive chemotherapy and has not changed in 40 years. However, recently new drugs and as less intensive treatment regimens have been approved in the US and in Europe. However. READ MORE