Bioinformatics | Biotechnology AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences. July 3, 2024
Bioinformatics | Chemoinformatics | Computer Science Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model. May 22, 2024
Bioinformatics | Computational Biology | Genetics Scoring alignments by embedding vector similarity. May 2, 2024
Bioinformatics | Computational Biology | Proteomics MFTrans: A multi-feature transformer network for protein secondary structure prediction. April 10, 2024
Bioinformatics | Proteomics CoCoNat: A Deep Learning-Based Tool for the Prediction of Coiled-coil Domains in Protein Sequences. February 26, 2024
Bioinformatics | Molecular Biology Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences. January 20, 2024
Bioinformatics | Epidemiology | Virology PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning. January 19, 2024
Bioinformatics | Computational Biology | Proteomics idMotif: An Interactive Motif Identification in Protein Sequences. December 21, 2023
Bioinformatics | Computational Biology | Molecular Biology Enhancing Sumoylation Site Prediction: A Deep Neural Network with Discriminative Features. November 25, 2023
Bioinformatics | Biotechnology | Protein Engineering SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures. October 3, 2023
Bioinformatics | Computational Biology | Machine Learning Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability. July 27, 2023
Other Finding functional motifs in protein sequences with deep learning and natural language models. June 29, 2023