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Kevin K. Yang
Kevin K. Yang
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Machine-learning-guided directed evolution for protein engineering
KK Yang, Z Wu, FH Arnold
Nature methods, 1, 2019
8422019
Learned protein embeddings for machine learning
KK Yang, Z Wu, CN Bedbrook, FH Arnold
Bioinformatics 34 (15), 2642-2648, 2018
3172018
Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics
CN Bedbrook, KK Yang, JE Robinson, ED Mackey, V Gradinaru, ...
Nature methods 16 (11), 1176-1184, 2019
1992019
Protein sequence design with deep generative models
Z Wu, KE Johnston, FH Arnold, KK Yang
Current opinion in chemical biology 65, 18-27, 2021
1262021
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization
CN Bedbrook, KK Yang, AJ Rice, V Gradinaru, FH Arnold
PLoS computational biology 13 (10), e1005786, 2017
1242017
FLIP: Benchmark tasks in fitness landscape inference for proteins
C Dallago, J Mou, KE Johnston, BJ Wittmann, N Bhattacharya, S Goldman, ...
bioRxiv, 2021.11. 09.467890, 2021
932021
Protein structure generation via folding diffusion
KE Wu, KK Yang, R van den Berg, S Alamdari, JY Zou, AX Lu, AP Amini
Nature Communications 15 (1), 1059, 2024
882024
Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins
BL Hie, KK Yang, PS Kim
Cell Systems 13 (4), 274-285. e6, 2022
79*2022
Signal peptides generated by attention-based neural networks
Z Wu, KK Yang, MJ Liszka, A Lee, A Batzilla, D Wernick, DP Weiner, ...
ACS Synthetic Biology 9 (8), 2154-2161, 2020
792020
Adaptive machine learning for protein engineering
BL Hie, KK Yang
Current opinion in structural biology 72, 145-152, 2022
762022
Learned embeddings from deep learning to visualize and predict protein sets
C Dallago, K Schütze, M Heinzinger, T Olenyi, M Littmann, AX Lu, ...
Current Protocols 1 (5), e113, 2021
752021
Convolutions are competitive with transformers for protein sequence pretraining
KK Yang, N Fusi, AX Lu
Cell Systems 15 (3), 286-294. e2, 2024
63*2024
Machine learning modeling of family wide enzyme-substrate specificity screens
S Goldman, R Das, KK Yang, CW Coley
PLoS computational biology 18 (2), e1009853, 2022
562022
Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins
CN Bedbrook, AJ Rice, KK Yang, X Ding, S Chen, EM LeProust, ...
Proceedings of the National Academy of Sciences 114 (13), E2624-E2633, 2017
542017
Masked inverse folding with sequence transfer for protein representation learning
KK Yang, N Zanichelli, H Yeh
Protein Engineering, Design and Selection 36, gzad015, 2023
45*2023
The Generation of Thermostable Fungal Laccase Chimeras by SCHEMA-RASPP Structure-Guided Recombination in Vivo
I Mateljak, A Rice, K Yang, T Tron, M Alcalde
ACS Synthetic Biology 8 (4), 833-843, 2019
422019
Protein generation with evolutionary diffusion: sequence is all you need
S Alamdari, N Thakkar, R van den Berg, AX Lu, N Fusi, AP Amini, ...
bioRxiv, 2023.09. 11.556673, 2023
37*2023
Exploring evolution-aware &-free protein language models as protein function predictors
M Hu, F Yuan, K Yang, F Ju, J Su, H Wang, F Yang, Q Ding
Advances in Neural Information Processing Systems 35, 38873-38884, 2022
362022
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
KK Yang, Y Chen, A Lee, Y Yue
arXiv preprint arXiv:1904.08102, 2019
222019
A topological data analytic approach for discovering biophysical signatures in protein dynamics
WS Tang, GM da Silva, H Kirveslahti, E Skeens, B Feng, T Sudijono, ...
PLoS computational biology 18 (5), e1010045, 2022
182022
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