149 citations · 319 across the 5 of their papers we have counts for
7 papers
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg +3
The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable disease…
Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu, Fajie Yuan, Kevin K. Yang +5
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ranging from 3D structure prediction to various function predictions. In particula…
Machine learning modeling of family wide enzyme-substrate specificity screens
Samuel Goldman, Ria Das, Kevin K. Yang +1
Biocatalysis is a promising approach to sustainably synthesize pharmaceuticals, complex natural products, and commodity chemicals at scale. However, the adoption of biocatalysis is…
Adaptive machine learning for protein engineering
Brian L. Hie, Kevin K. Yang
Machine-learning models that learn from data to predict how protein sequence encodes function are emerging as a useful protein engineering tool. However, when using these models to…
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
Protein engineering seeks to identify protein sequences with optimized properties. When guided by machine learning, protein sequence generation methods can draw on prior knowledge…
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
Kevin K. Yang, Yuxin Chen, Alycia Lee +1
In many high-throughput experimental design settings, such as those common in biochemical engineering, batched queries are more cost effective than one-by-one sequential queries. F…
Machine learning-guided directed evolution for protein engineering
Kevin K. Yang, Zachary Wu, Frances H. Arnold
Machine learning (ML)-guided directed evolution is a new paradigm for biological design that enables optimization of complex functions. ML methods use data to predict how sequence…