Bioinformatics | Machine Learning | Protein Engineering Neural network extrapolation to distant regions of the protein fitness landscape. November 21, 2023
Biology | Protein Analysis | Protein Engineering TRILL: Orchestrating Modular Deep-Learning Workflows for Democratized, Scalable Protein Analysis and Engineering. November 21, 2023
Bioinformatics | Protein Engineering Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction. October 27, 2023
Bioinformatics | Protein Engineering What Have We Learned from Design of Function in Large Proteins? October 18, 2023
Bioinformatics | Biotechnology | Protein Engineering SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures. October 3, 2023
Machine Learning | Protein Engineering | Structural Biology Persistent spectral theory-guided protein engineering. August 28, 2023
Bioinformatics | Protein Engineering Structure-Informed Protein Language Models are Robust Predictors for Variant Effects. August 14, 2023
Artificial Intelligence | Biotechnology | Drug Discovery | Protein Engineering Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models. August 7, 2023
Bioinformatics | Computational Biology | Protein Engineering Transfer learning to leverage larger datasets for improved prediction of protein stability changes. August 7, 2023
Cancer Biology | Drug Discovery | Evolutionary Biology | Immunology | Protein Engineering Topological deep learning based deep mutational scanning. July 28, 2023
Bioinformatics | Protein Engineering Searching for protein variants with desired properties using deep generative models. July 21, 2023
Bioinformatics | Protein Engineering Identifying promising sequences for protein engineering using a deep transformer protein language model. June 20, 2023