Biotechnology | Protein Engineering Classifying alkaliphilic proteins using embeddings from protein language model. March 28, 2024
Biotechnology | Protein Engineering Flattening the curve-How to get better results with small deep-mutational-scanning datasets. March 19, 2024
Bioinformatics | Computational Biology | Protein Engineering An integrative approach to protein sequence design through multiobjective optimization. March 18, 2024
Bioinformatics | Molecular Biology | Protein Engineering Machine learning to predict continuous protein properties from binary cell sorting data and map unseen sequence space. March 7, 2024
Bioinformatics | Drug Discovery | Protein Engineering PSSP-MFFNet: A Multifeature Fusion Network for Protein Secondary Structure Prediction. February 12, 2024
Machine Learning | Protein Engineering Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering. January 9, 2024
Bioinformatics | Protein Engineering Invariant point message passing for protein side chain packing. January 8, 2024
Bioinformatics | Genetics | Protein Engineering ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction. December 18, 2023
Bioinformatics | Machine Learning | Protein Engineering DeepPPThermo: A Deep Learning Framework for Predicting Protein Thermostability Combining Protein-Level and Amino Acid-Level Features. December 15, 2023
Bioinformatics | Protein Engineering DeepTM: A deep learning algorithm for prediction of melting temperature of thermophilic proteins directly from sequences. November 30, 2023
Bioinformatics | Oncology | Protein Engineering In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models. November 30, 2023
Bioinformatics | Computational Biology | Protein Engineering Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction. November 25, 2023