Bordin, Nicola

CATH: increased structural coverage of functional space

Sillitoe, I., Bordin, N., Dawson, N., Waman, V. P., Ashford, P., Scholes, H. M., Pang, C. S. M., Woodridge, L., Rauer, C., Sen, N., et al. (2021) · Nucleic Acids Research

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 509

Exploring structural diversity across the protein universe with The Encyclopedia of Domains

Lau, A. M., Bordin, N., Kandathil, S. M., Sillitoe, I., Waman, V. P., Wells, J., Orengo, C. A., & Jones, D. T. (2024) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 140

Exploring structural diversity across the protein universe with The Encyclopedia of Domains

Lau, A. M., Bordin, N., Kandathil, S. M., Sillitoe, I., Waman, V. P., Wells, J., Orengo, C. A., & Jones, D. T. (2024) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 140

Contrastive learning on protein embeddings enlightens midnight zone

Heinzinger, M., Littmann, M., Sillitoe, I., Bordin, N., Orengo, C., & Rost, B. (2021) · NAR Genomics and Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 105

AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Bordin, N., Sillitoe, I., Nallapareddy, V., Rauer, C., Lam, S. D., Waman, V. P., Sen, N., Heinzinger, M., Littmann, M., Kim, S., et al. (2022) · Communications Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 103

AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

Bordin, N., Sillitoe, I., Nallapareddy, V., Rauer, C., Lam, S. D., Waman, V. P., Sen, N., Heinzinger, M., Littmann, M., Kim, S., et al. (2023) · Communications Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 103

Novel machine learning approaches revolutionize protein knowledge

Bordin, N., Dallago, C., Heinzinger, M., Kim, S., Littmann, M., Rauer, C., Steinegger, M., Rost, B., & Orengo, C. (2023) · Trends in Biochemical Sciences

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 72

Chainsaw: protein domain segmentation with fully convolutional neural networks

Wells, J., Hawkins-Hooker, A., Bordin, N., Sillitoe, I., Paige, B., & Orengo, C. (2023) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 53

Chainsaw: protein domain segmentation with fully convolutional neural networks

Wells, J., Hawkins-Hooker, A., Bordin, N., Sillitoe, I., Paige, B., & Orengo, C. (2024) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 53

CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models

Nallapareddy, V., Bordin, N., Sillitoe, I., Heinzinger, M., Littmann, M., Waman, V. P., Sen, N., Rost, B., & Orengo, C. (2023) · Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 47

The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors

Varadi, M., Bordin, N., Orengo, C., & Velankar, S. (2023) · Current Opinion in Structural Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 29

Quest for Orthologs in the Era of Biodiversity Genomics

Langschied, F., Bordin, N., Cosentino, S., Fuentes-Palacios, D., Glover, N., Hiller, M., Hu, Y., Huerta-Cepas, J., Coelho, L. P., Iwasaki, W., et al. (2024) · Genome Biology and Evolution

Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks

Cited by 26

Characterizing and explaining impact of disease-associated mutations in proteins without known structures or structural homologues

Sen, N., Anishchenko, I., Bordin, N., Sillitoe, I., Velankar, S., Baker, D., & Orengo, C. (2021) · Briefings in Bioinformatics

Protein Structure and DynamicsGenomics and Rare Diseases

Cited by 25

Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs

Sen, N., Anishchenko, I., Bordin, N., Sillitoe, I., Velankar, S., Baker, D., & Orengo, C. (2022) · Briefings in Bioinformatics

Protein Structure and DynamicsGenomics and Rare Diseases

Cited by 25

Broad functional profiling of fission yeast proteins using phenomics and machine learning

Rodríguez-López, M., Bordin, N., Lees, J., Scholes, H., Hassan, S., Saintain, Q., Kamrad, S., Orengo, C., & Bähler, J. (2023) · eLife

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 24

Broad functional profiling of fission yeast proteins using phenomics and machine learning

Rodríguez-López, M., Bordin, N., Lees, J., Scholes, H., Hassan, S., Saintain, Q., Kamrad, S., Orengo, C., & Bähler, J. (2023) · eLife

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 18

Broad functional profiling of fission yeast proteins using phenomics and machine learning

Rodríguez-López, M., Bordin, N., Lees, J., Scholes, H., Hassan, S., Saintain, Q., Kamrad, S., Orengo, C., & Bähler, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory)

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 2

Broad functional profiling of fission yeast proteins using phenomics and machine learning

Rodríguez-López, M., Bordin, N., Lees, J., Scholes, H., Hassan, S., Saintain, Q., Kamrad, S., Orengo, C., & Bähler, J. (2023) · eLife

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 0