Guiding Diffusion Models for Antibody Sequence and Structure Co-design with Developability Properties Jan 2024Published byPRX LifeSummaryjournal-article
Guiding diffusion models for antibody sequence and structure co-design with developability properties Jan 2023Summarypreprint
ManyFold: an efficient and flexible library for training and validating protein folding models Jan 2023Published byBioinformaticsSummaryjournal-article
So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs Jan 2022Summarypreprint
An analysis of protein language model embeddings for fold prediction Jan 2022Published byBriefings in BioinformaticsSummaryjournal-article
Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks Jan 2021Published byIEEE/ACM Transactions on Computational Biology and BioinformaticsSummaryjournal-article
FoldHSphere: deep hyperspherical embeddings for protein fold recognition Jan 2021Published byBMC BioinformaticsSummaryjournal-article
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function Jan 2021Published byBioinformaticsSummaryjournal-article
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function Jan 2021Published byBioinformaticsSummaryjournal-article
End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks Jan 2019Published byProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018Summaryconference-paper
Improved protein residue-residue contact prediction using image denoising methods Jan 2018Published byEuropean Signal Processing ConferenceSummaryconference-paper