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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
8082019
Learned protein embeddings for machine learning
KK Yang, Z Wu, CN Bedbrook, FH Arnold
Bioinformatics 34 (15), 2642-2648, 2018
3102018
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
1932019
Protein sequence design with deep generative models
Z Wu, KE Johnston, FH Arnold, KK Yang
Current opinion in chemical biology 65, 18-27, 2021
1232021
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
1212017
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
822021
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
772020
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
742024
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
71*2022
Adaptive machine learning for protein engineering
BL Hie, KK Yang
Current opinion in structural biology 72, 145-152, 2022
682022
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
682021
Convolutions are competitive with transformers for protein sequence pretraining
KK Yang, N Fusi, AX Lu
Cell Systems, 2022
55*2022
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
552017
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
502022
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
392019
Masked inverse folding with sequence transfer for protein representation learning
KK Yang, N Zanichelli, H Yeh
Protein Engineering, Design and Selection 36, gzad015, 2023
38*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
312022
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
26*2023
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
KK Yang, Y Chen, A Lee, Y Yue
arXiv preprint arXiv:1904.08102, 2019
212019
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
152022
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