Sökning: "Protein Model Quality Assessment"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden Protein Model Quality Assessment.

1. 1. Protein Model Quality Assessment : A Machine Learning Approach

   Författare :Karolis Uziela; Arne Elofsson; Liam McGuffin; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Protein Model Quality Assessment; structural bioinformatics; machine learning; deep learning; support vector machine; proq; Artificial Neural Network; protein structure prediction; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Many protein structure prediction programs exist and they can efficiently generate a number of protein models of a varying quality. One of the problems is that it is difficult to know which model is the best one for a given target sequence. Selecting the best model is one of the major tasks of Model Quality Assessment Programs (MQAPs). LÄS MER

3. 2. Protein Structure Prediction : Model Building and Quality Assessment

   Författare :Björn Wallner; Arne Elofsson; Michael Levitt; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; proteinstrukturförutsägelse; Bioinformatics; Bioinformatik;

   Sammanfattning : Proteins play a crucial roll in all biological processes. The wide range of protein functions is made possible through the many different conformations that the protein chain can adopt. The structure of a protein is extremely important for its function, but to determine the structure of protein experimentally is both difficult and time consuming. LÄS MER

4. 3. Quality assessment of protein models

   Författare :Arjun Ray; Erik Lindahl; Bengt Persson; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; SRA - Molecular Bioscience; SRA - Molekylär biovetenskap;

   Sammanfattning : Proteins are crucial for all living organisms and they are involved in many different processes. The function of a protein is tightly coupled to its structure, yet to determine the structure experimentally is both non-trivial and expensive. LÄS MER

5. 4. Ensemble methods for protein structure prediction

   Författare :Marcin J. Skwark; Arne Elofsson; Michael Tress; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; model quality assessment; contact prediction; homology modeling; ab-initio prediction; consensus prediction; structural bioinformatics; bioinformatics; protein structure; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

   Sammanfattning : Proteins play an essential role in virtually all of life's processes. Their function is tightly coupled to the three-dimensional structure they adopt.Solving protein structures experimentally is a complicated, time- and resource-consuming endeavor. LÄS MER

7. 5. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction

   Författare :Mirco Michel; Arne Elofsson; Erik Lindahl; Johannes Söding; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein bioinformatics; protein structure prediction; contact prediction; machine learning; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Despite the fundamental role of experimental protein structure determination, computational methods are of essential importance to bridge the ever growing gap between available protein sequence and structure data. Common structure prediction methods rely on experimental data, which is not available for about half of the known protein families. LÄS MER