PDBench: Evaluating Computational Methods for Protein-Sequence Design LV Castorina, R Petrenas, K Subr, CW Wood Bioinformatics, 2023 | 12 | 2023 |
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols BM Li, LV Castorina, MC Valdés Hernández, U Clancy, SJ Wiseman, ... Frontiers in Computational Neuroscience 16, 887633, 2022 | 8* | 2022 |
Attentive variational information bottleneck for TCR–peptide interaction prediction F Grazioli, P Machart, A Mösch, K Li, LV Castorina, N Pfeifer, MR Min Bioinformatics 39 (1), btac820, 2023 | 5 | 2023 |
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks LV Castorina, SM Ünal, K Subr, CW Wood Protein Engineering, Design and Selection 37, gzae002, 2024 | 4* | 2024 |
Metrics for quality control of results from super-resolution machine-learning algorithms–Data extracted from publications in the period 2017-May 2021 LV Castorina, BM Li, A Storkey, M Valdés Hernández https://doi.org/10.7488/ds/3062, 2021 | 2 | 2021 |
Assessing the Generalization Capabilities of TCR Binding Predictors via Peptide Distance Analysis LV Castorina, F Grazioli, P Machart, A Moesch, F Errica bioRxiv, 2023.07. 29.551100, 2023 | | 2023 |
How to Solve the Protein Folding Problem: A deeper look at AlphaFold2 and its neural architecture LV Castorina | | 2023 |
Information carrier object and system for retrieving information J Love, LV Castorina, TG O'leary, W Gong, GG Chiarella US Patent 11,132,086, 2021 | | 2021 |