Author

Alexandra T. P. Carvalho

Almac (United Kingdom)ORCID 0000-0003-2827-5527Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Derek J. QuinniD· 1 shared Jane Mueller· 1 shared Jiahui ZhouiD· 1 shared Meilan HuangiD· 1 shared Pedro FigueiredoiD· 1 shared Ricardo GonzáleziD· 1 shared Thomas S. MoodyiD· 1 shared Xiangwen WangiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Derek J. QuinnORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Theory and ComputationPeer-reviewedDec 20, 2024

BioStructNet: Structure-Based Network with Transfer Learning for Predicting Biocatalyst Functions

Xiangwen Wang, Jiahui Zhou, Jane Mueller…·Meilan Huang

BioStructNet predicts biocatalyst functions using structure-based deep learning and transfer learning, improving accuracy for small datasets.

7 citations

protein structuredeep learning

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BioinformaticsbioRxivPreprintFeb 9, 2022

Cell delivery peptides for small interfering RNAs targeting SARS-CoV-2 new variants through a bioinformatics and deep learning design

Ricardo González, Pedro Figueiredo, Alexandra T. P. Carvalho

The paper designs small interfering RNA sequences targeting SARS-CoV-2 variants using bioinformatics and deep learning, producing two databases with 62 effective sequences and 10 delivery peptide-like candidates.

DOI 10.1101/2022.02.09.479755

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