Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Enzyme Design"”.
-
COMPUTATIONAL ENZYME ENGINEERING: FROM MOLECULAR MODELING TO MACHINE LEARNING
… of biocatalysis in modern life sciences. Enzymes, as highly selective and efficient natural catalysts, offer significant advantages for environmentally benign and carbon-neutral processes. However, their practical application is often limited by narrow substrate scope, insufficient …
-
Protein Design at Library Scale
Recent advances in de novo protein design have made it increasingly feasibleto create proteins with novel functions, driven by rapid progress in both com- putational modeling and high-throughput experimentation. Modern tools can explore vast sequence-structure spaces and evaluate biomolecular …
-
Computational structure-based modeling and analysis with application to rational and evolutionary molecular engineering
The design and development of new proteins and small molecules has considerable practical application in medicine, industry, and basic science. Frequently, progress in this area is made by altering an existing small molecule or protein for new function. This thesis presents methods for the analysis …
-
Methods and Applications of Computational Design in Multiple States
… Over the past two decades, our ability to design proteins has advanced significantly, however, our understanding of and ability to design multistate proteins remains an area of significant challenge. The multistate design challenge hinders our ability to engineer functional proteins like …
-
Novel applications and methods for the computer-aided understanding and design of enzyme activity
… of computer-aided tools for engineering enzymes for a vast array of industrial applications. rational enzyme design remains an ongoing challenge in biotechnology. This thesis presents a set of novel applications and methods for the computer-aided understanding and design of enzyme …
-
Statistical Relational Learning for Proteomics: Function, Interactions and Evolution
… powerful learning methods that are explicitly designed to solve complex problems, such as collective classification, multi-task learning and structured output prediction, which natively handle relational data, noise, and partial information. Statistical-relational methods rely on some First- …