Sackett, Peter Wad

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 111

RosettaDDGPrediction for high-throughput mutational scans: from stability to binding

Sora, V., Laspiur, A. O., Degn, K., Arnaudi, M., Utichi, M., Beltrame, L., De Menezes, D., Orlandi, M., Rigina, O., Sackett, P. W., et al. (2022) · Protein Science

Protein Structure and DynamicsGenomics and Rare Diseases

Cited by 90

MAVISp: A Modular Structure-Based Framework for Protein Variant Effects

Arnaudi, M., Utichi, M., Degn, K., Tiberti, M., Beltrame, L., Krzesińska, K., Sánchez-Izquierdo Besora, P., Kiachaki, E., Scrima, S., Bauer, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Rare DiseasesProtein Structure and Dynamics

Cited by 20

<tt>SAFARI</tt> : pangenome alignment of ancient DNA using purine/pyrimidine encodings

Rubin, J., van Waaij, J., Kraft, L., Sirén, J., Sackett, P. W., & Renaud, G. (2025) · NAR Genomics and Bioinformatics

Genomics and Phylogenetic StudiesAlgorithms and Data Compression

Cited by 1