Advancing antibody engineering through synthetic evolution and machine learning
Abs are versatile molecules with the potential to achieve exceptional binding to target Ags,
while also possessing biophysical properties suitable for therapeutic drug development …
while also possessing biophysical properties suitable for therapeutic drug development …
Addressing epistasis in the design of protein function
R Lipsh-Sokolik, SJ Fleishman - Proceedings of the National Academy of …, 2024 - pnas.org
Mutations in protein active sites can dramatically improve function. The active site, however,
is densely packed and extremely sensitive to mutations. Therefore, some mutations may …
is densely packed and extremely sensitive to mutations. Therefore, some mutations may …
[HTML][HTML] Best practices for machine learning in antibody discovery and development
In the past 40 years, therapeutic antibody discovery and development have advanced
considerably, with machine learning (ML) offering a promising way to speed up the process …
considerably, with machine learning (ML) offering a promising way to speed up the process …
Assessing the functional roles of coevolving PHD finger residues
S Basu, U Subedi, M Tonelli, M Afshinpour… - Protein …, 2024 - Wiley Online Library
Although in silico folding based on coevolving residue constraints in the deep‐learning era
has transformed protein structure prediction, the contributions of coevolving residues to …
has transformed protein structure prediction, the contributions of coevolving residues to …
[HTML][HTML] Reactive Oxygen Species Mechanisms that Regulate Protein–Protein Interactions in Cancer
S Iliadis, NA Papanikolaou - International Journal of Molecular Sciences, 2024 - mdpi.com
Reactive oxygen species (ROS) are produced during cellular metabolism and in response to
environmental stress. While low levels of ROS play essential physiological roles, excess …
environmental stress. While low levels of ROS play essential physiological roles, excess …
Computational tools for plant genomics and breeding
Plant genomics and crop breeding are at the intersection of biotechnology and information
technology. Driven by a combination of high-throughput sequencing, molecular biology and …
technology. Driven by a combination of high-throughput sequencing, molecular biology and …
Protein Language Model Supervised Precise and Efficient Protein Backbone Design Method
Proteins are essential macromolecules that play crucial roles in nearly every type of
biological function. Most of the protein functions are determined by their position topologies …
biological function. Most of the protein functions are determined by their position topologies …
Employing Active Learning in Medium Optimization for Selective Bacterial Growth
S Zhang, H Aida, BW Ying - Applied Microbiology, 2023 - mdpi.com
Medium optimization and development for selective bacterial cultures are essential for
isolating and functionalizing individual bacteria in microbial communities; nevertheless, it …
isolating and functionalizing individual bacteria in microbial communities; nevertheless, it …
Leveraging Deep Generative Model For Computational Protein Design And Optimization
B Lai - arXiv preprint arXiv:2408.17241, 2024 - arxiv.org
Proteins are the fundamental macromolecules that play diverse and crucial roles in all living
matter and have tremendous implications in healthcare, manufacturing, and biotechnology …
matter and have tremendous implications in healthcare, manufacturing, and biotechnology …
A library-on-library screen reveals the breadth expansion landscape of a broadly neutralizing betacoronavirus antibody
Broadly neutralizing antibodies (bnAbs) typically evolve cross-reactivity breadth through
acquiring somatic hypermutations. While evolution of breadth requires improvement of …
acquiring somatic hypermutations. While evolution of breadth requires improvement of …