Sökning: "Biochemistry towards Bioinformatics"
Visar resultat 21 - 25 av 41 avhandlingar innehållade orden Biochemistry towards Bioinformatics.
21. Network and gene expression analyses for understanding protein function
Sammanfattning : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. LÄS MER
22. Bioinformatics Methods for Topology Prediction of Membrane Proteins
Sammanfattning : Membrane proteins are key elements of the cell since they are associated with a variety of very important biological functions crucial to its survival. They are implicated in cellular recognition and adhesion, act as molecular receptors, transport substrates through membranes and exhibit specific enzymatic activity. LÄS MER
23. Protein Model Quality Assessment : A Machine Learning Approach
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
24. Towards Classification and Functional Description of Enzymes: A case study of feruloyl esterases
Sammanfattning : The prediction of enzyme functionality from sequence or structure data remains a challenging task that can be best addressed by studying the structure-function relationships determined from previously available information. This thesis work was focused on developing a reliable classification and functional description for the feruloyl esterase (FAE) enzyme family, whose members’ possess both structural and catalytic promiscuity. LÄS MER
25. Big data networks and orthology analysis
Sammanfattning : Understanding biological systems in complex organisms is important in life science in order to comprehend the interplay of genes, proteins, and compounds causing complex diseases. As biological systems are intricate, bioinformatics tools, models, and algorithms are of the utmost importance to understand the bigger picture and decipher biological meaning from the vast amounts of information available from biological experiments and predictions. LÄS MER