Archive

Enzyme AI Papers

Enzyme AI Papers Weekly - 2026-W19

1 accepted enzyme AI or computational enzyme paper collected for 2026-W19.

biorxiv 2026

Diagnosing protein sequence search in the era of language models

Zhou, H., Yang, Y., Lu, Y. Y.

benchmark-datasetprotein-language-modelhybrid-computationalcomputational-onlygeneral

Enzyme AI Papers Weekly - 2026-W18

5 accepted enzyme AI or computational enzyme papers collected for 2026-W18.

biorxiv 2026

CombinGym: a benchmark platform for machine learning-assisted design of combinatorial protein variants

Chen, Y., Fu, L., Lu, X., Li, W., Gao, Y., Wang, Y., Ruan, Z., Si, T.

function-predictionsubstrate-specificitybenchmark-datasetbayesian-optimizationcomputational-onlygeneral
biorxiv 2026

Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering

Zeng, Z., Jin, J., Xu, R., Luo, X.

enzyme-designstability-expressiondirected-evolutionbenchmark-datasethybrid-computationalcomputational-onlygeneral
biorxiv 2026

Protenix-v2: Broadening the Reach of Structure Prediction and Biomolecular Design

Zhang, Y., Gong, C., Sun, J., Guan, J., Ren, M., Xue, S., Zhang, H., Ma, W., Liu, Z., Chen, X., Xiao, W.

enzyme-designbayesian-optimizationcomputational-onlygeneral
Nature Communications 2026

Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space

Yu Liu, Haoyang Hu, Yueheng Han, Jia Song Deon Chon, Chin Lee Lo, Zhixuan Chen, Zheng Zhang, Zhihong Yuan, Jun Ge

enzyme-designbayesian-optimizationcomputational-onlygeneral
biorxiv 2026

Characterization of selective pressures acting on protein sites with Deep Learning

Bergiron, E., Nesterenko, L., Barnier, J., Veber, P., Boussau, B.

benchmark-datasethybrid-computationalcomputational-onlygeneral

Enzyme AI Papers Weekly - 2026-W17

2 accepted enzyme AI or computational enzyme papers collected for 2026-W17.

biorxiv 2026

Additive baselines furnish no evidence for epistasis learning by MULTI-evolve

Visani, G. M., Verma, A., DeWitt, W. S.

benchmark-datasetprotein-language-modelcomputational-onlygeneral
biorxiv 2026

Beyond Structure and Affinity: Context-Dependent Signals for de novo Binder Success

Bozkurt, C.

stability-expressionbenchmark-datasetbayesian-optimizationcomputational-onlygeneral
biorxiv 2026

Diagnosing protein sequence search in the era of language models

Zhou, H., Yang, Y., Lu, Y. Y.

benchmark-datasetprotein-language-modelhybrid-computationalcomputational-onlygeneral
biorxiv 2026

CombinGym: a benchmark platform for machine learning-assisted design of combinatorial protein variants

Chen, Y., Fu, L., Lu, X., Li, W., Gao, Y., Wang, Y., Ruan, Z., Si, T.

function-predictionsubstrate-specificitybenchmark-datasetbayesian-optimizationcomputational-onlygeneral
biorxiv 2026

Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering

Zeng, Z., Jin, J., Xu, R., Luo, X.

enzyme-designstability-expressiondirected-evolutionbenchmark-datasethybrid-computationalcomputational-onlygeneral
biorxiv 2026

Protenix-v2: Broadening the Reach of Structure Prediction and Biomolecular Design

Zhang, Y., Gong, C., Sun, J., Guan, J., Ren, M., Xue, S., Zhang, H., Ma, W., Liu, Z., Chen, X., Xiao, W.

enzyme-designbayesian-optimizationcomputational-onlygeneral
Nature Communications 2026

Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space

Yu Liu, Haoyang Hu, Yueheng Han, Jia Song Deon Chon, Chin Lee Lo, Zhixuan Chen, Zheng Zhang, Zhihong Yuan, Jun Ge

enzyme-designbayesian-optimizationcomputational-onlygeneral
biorxiv 2026

Characterization of selective pressures acting on protein sites with Deep Learning

Bergiron, E., Nesterenko, L., Barnier, J., Veber, P., Boussau, B.

benchmark-datasethybrid-computationalcomputational-onlygeneral
biorxiv 2026

Additive baselines furnish no evidence for epistasis learning by MULTI-evolve

Visani, G. M., Verma, A., DeWitt, W. S.

benchmark-datasetprotein-language-modelcomputational-onlygeneral
biorxiv 2026

Beyond Structure and Affinity: Context-Dependent Signals for de novo Binder Success

Bozkurt, C.

stability-expressionbenchmark-datasetbayesian-optimizationcomputational-onlygeneral