Sökning: "Biochemistry towards Bioinformatics"
Visar resultat 16 - 20 av 41 avhandlingar innehållade orden Biochemistry towards Bioinformatics.
16. Transmembrane Proteins and Protein Structure Prediction : What we can learn from Computational Methods
Sammanfattning : A protein’s 3D-structure is essential to understand how proteins function and interact and how biochemical processes proceed in organic life. Despite the advancement in experimental methods, it remains expensive and time-consuming to determine protein structure experimentally. LÄS MER
17. Intrinsic disorder and tandem repeats - match made in evolution : Computational studies of molecular evolution
Sammanfattning : Proteins are both the building blocks and workers of the cell, carrying out most of the important functions. For a long time, their structure has been regarded as the primary factor for their function, but intrinsically disordered proteins demonstrate an alternative to this paradigm. LÄS MER
18. Host-parasite interactions in space and time
Sammanfattning : Unicellular parasites of the apicomplexan phylum have a considerable effect on global health and agriculture. Two prominent examples of this phylum include malaria causing parasites of the Plasmodium genus and the widely prevalent parasite Toxoplasma gondii. LÄS MER
19. Structured Learning for Structural Bioinformatics : Applications of Deep Learning to Protein Structure Prediction
Sammanfattning : Proteins are the basic molecular machines of the cell, performing a broad range of tasks, from structural support to catalysisof chemical reactions. Their function is determined by their 3D structure, which in turn is dictated by the order of their components, the amino acids. LÄS MER
20. Towards Reliable Gene Regulatory Network Inference
Sammanfattning : Phenotypic traits are now known to stem from the interplay between genetic variables across many if not every level of biology. The field of gene regulatory network (GRN) inference is concerned with understanding the regulatory interactions between genes in a cell, in order to build a model that captures the behaviour of the system. LÄS MER