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Showing result 1 - 5 of 198 essays matching the above criteria.

1. 1. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

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

   Author : Camille Finlinson Porter; [2023-03-22]
   Keywords : enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

   Abstract : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. READ MORE

3. 2. 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

4. 3. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design

   University essay from Uppsala universitet/Beräkningsbiologi och bioinformatik

   Author : Linde Brokmar; [2023]
   Keywords : Protein design; de novo design; protein engineering; generative ai; machine learning; peptide binders; AF2; EvoBind; RFdiffusion; ProteinMPNN;

   Abstract : 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. READ MORE

5. 4. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
   Keywords : ;

   Abstract : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. READ MORE

6. 5. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Mahtab Davari; [2023]
   Keywords : Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

   Abstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE