Learning epistasis and residue coevolution patterns: Current trends and future perspectives for advancing enzyme engineering
Engineering proteins and enzymes with the desired functionality has broad applications in
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Selection protocols such as SELEX, where molecules are selected over multiple rounds for
their ability to bind to a target of interest, are popular methods for obtaining binders for …
their ability to bind to a target of interest, are popular methods for obtaining binders for …
ACIDES: on-line monitoring of forward genetic screens for protein engineering
Forward genetic screens of mutated variants are a versatile strategy for protein engineering
and investigation, which has been successfully applied to various studies like directed …
and investigation, which has been successfully applied to various studies like directed …
Inference of annealed protein fitness landscapes with AnnealDCA
The design of proteins with specific tasks is a major challenge in molecular biology with
important diagnostic and therapeutic applications. High-throughput screening methods have …
important diagnostic and therapeutic applications. High-throughput screening methods have …
In-silico monitoring of directed evolution convergence to unveil best performing variants with credibility score
Directed evolution (DE) is a versatile protein-engineering strategy applicable to proteins like
enzymes, antibodies, or viral vectors. Starting from a library containing billions of random …
enzymes, antibodies, or viral vectors. Starting from a library containing billions of random …
Protein evolution and data-driven sequence landscapes
M Bisardi - 2023 - theses.hal.science
Thanks to the explosion of available protein sequence data, driven by next-generation
sequencing, unsupervised machine learning models can be harnessed to learn protein …
sequencing, unsupervised machine learning models can be harnessed to learn protein …
[PDF][PDF] Unsupervised inference methods for protein sequence data
L Sesta - 2023 - tesidottorato.depositolegale.it
Recent years have seen an explosion of availability of protein sequence data. However, the
vast majority of these data are unlabeled, that is, the sequences are not accompanied by …
vast majority of these data are unlabeled, that is, the sequences are not accompanied by …
[HTML][HTML] Uncursing winner's curse: on-line monitoring of directed evolution convergence
Directed evolution (DE) is a versatile protein-engineering strategy, successfully applied to a
range of proteins, including enzymes, antibodies, and viral vectors. However, DE can be …
range of proteins, including enzymes, antibodies, and viral vectors. However, DE can be …
Computational Analysis & Design of Biopolymers
J Procyk - 2022 - search.proquest.com
Biopolymers perform the majority of essential functions necessary for life. From a small
amount of components emerges considerable complexity in both structure and function. The …
amount of components emerges considerable complexity in both structure and function. The …