Sökning: "predicting PTMs"

Hittade 3 avhandlingar innehållade orden predicting PTMs.

  1. 1. From Physicochemical Features to Interdependency Networks : A Monte Carlo Approach to Modeling HIV-1 Resistome and Post-translational Modifications

    Författare :Marcin Kierczak; Jan Komorowski; Anna Tramontano; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; HIV-1; resistome analysis; drug resistance; predicting PTMs; molecular interdependency networks; MCFS-ID; feature selection; interactome; machine-learning; rough sets; Bioinformatics; Bioinformatik; Computer Science; datavetenskap; Biology; with specialization in structural biology; biologi; med inriktning mot strukturbiologi;

    Sammanfattning : The availability of new technologies supplied life scientists with large amounts of experimental data. The data sets are large not only in terms of the number of observations, but also in terms of the number of recorded features. LÄS MER

  3. 2. Advancing systems biology of yeast through machine learning and comparative genomics

    Författare :Le Yuan; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; enzyme turnover number; gene essentiality; horizontal gene transfer; machine learning; deep learning; yeast species;

    Sammanfattning : Synthetic biology has played a pivotal role in accomplishing the production of high value commodities, pharmaceuticals, and bulk chemicals. Fueled by the breakthrough of synthetic biology and metabolic engineering, Saccharomyces cerevisiae and various other yeasts (such as Yarrowia lipolytica , Pichia pastoris ) have been proven to be promising microbial cell factories and are frequently used in scientific studies. LÄS MER

  4. 3. p53-dependent and -independent mechanisms of p53-targeting small molecules

    Författare :Jiawei Zhu; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : Tumor suppressor p53 (Tp53) is mutated in around half of human cancers, while in wild type p53 cells its activity is continuously inhibited by MDM2 through proteasome degradation resulting in the loss of its function. Currently, cancer treatments with small molecules based on reactivation of wild type p53 and restoration of mutant p53 have moved to clinical trials and exhibited promising anti-cancer effects. LÄS MER