引用次数
引用: 2,601
H-指数: 19
I10-指数 : 22
出版物: 33
Learned protein embeddings for machine learning.
Kevin K Yang , Zachary Wu , Claire N Bedbrook , Frances H Arnold
Bioinformatics 34 ( 15) 2642 -2648
97
2018
Machine learning modeling of family wide enzyme-substrate specificity screens
Samuel Goldman , Ria Das , Kevin K Yang , Connor W Coley
PLoS computational biology 18 ( 2) e1009853
12
2022
Adaptive machine learning for protein engineering
Brian L Hie , Kevin K Yang
Current opinion in structural biology 72 145 -152
24
2022
FLIP: Benchmark tasks in fitness landscape inference for proteins
Christian Dallago , Jody Mou , Kadina E Johnston , Bruce J Wittmann
bioRxiv 2021 -11
29
2021
Randomized gates eliminate bias in sort‐seq assays
Brian L Trippe , Buwei Huang , Erika A DeBenedictis , Brian Coventry
Protein Science 31 ( 9) e4401 -e4401
8
2022
Sequence vs. Structure: Delving Deep into Data-Driven Protein Function Prediction
Xiaochen Tian , Ziyin Wang , Kevin K Yang , Jin Su
bioRxiv 2023.04. 02.534383 -2023.04. 02.534383
4
2023
Protein structure generation via folding diffusion
Kevin E Wu , Kevin K Yang , Rianne van den Berg , Sarah Alamdari
Nature Communications 15 ( 1) 1059 -1059
86
2024
Protein generation with evolutionary diffusion: sequence is all you need
Sarah Alamdari , Nitya Thakkar , Rianne van den Berg , Alex Xijie Lu
bioRxiv 2023.09. 11.556673 -2023.09. 11.556673
32
2023
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Francesca-Zhoufan Li , Ava P Amini , Yisong Yue , Kevin K Yang
bioRxiv 2024.02. 05.578959 -2024.02. 05.578959
2
2024
Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu , Fajie Yuan , Kevin K Yang , Fusong Ju
NeurIPS2022
36
2022
A topological data analytic approach for discovering biophysical signatures in protein dynamics
Wai Shing Tang , Gabriel Monteiro da Silva , Henry Kirveslahti , Erin Skeens
PLoS computational biology 18 ( 5) e1010045 -e1010045
18
2022
Illuminating enzyme design using deep learning
Christian Dallago , Kevin K Yang
Nature Chemistry 1 -2
1
2023
Deep self-supervised learning for biosynthetic gene cluster detection and product classification
Carolina Rios-Martinez , Nicholas Bhattacharya , Ava P Amini , Lorin Crawford
PLOS Computational Biology 19 ( 5) e1011162 -e1011162
8
2023
Benchmarking uncertainty quantification for protein engineering
Kevin P Greenman , Ava P Amini , Kevin K Yang
bioRxiv 2023.04. 17.536962 -2023.04. 17.536962
10
2023
Learning from physics-based features improves protein property prediction
Amy Wang , Ava P Amini , Alex X Lu , Kevin K Yang
NeurIPS, Workshop on Machine Learning in Structural Biology
2
2022
From noise to protein with image models
Ava P Amini , Kevin K Yang
Nature Computational Science 3 ( 5) 366 -367
2023
Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins
Brian L Hie , Kevin K Yang , Peter S Kim
Cell Systems 13 ( 4) 274 -285. e6
82
2022
Convolutions are competitive with transformers for protein sequence pretraining
Kevin K Yang , Nicolo Fusi , Alex X Lu
Cell Systems 15 ( 3) 286 -294. e2
67
2024
Masked inverse folding with sequence transfer for protein representation learning
Kevin K Yang , Niccolò Zanichelli , Hugh Yeh
Protein Engineering, Design and Selection 36 gzad015 -gzad015
50
2023
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
Kevin K Yang , Yuxin Chen , Alycia Lee , Yisong Yue
arXiv preprint arXiv:1904.08102
23
2019