Orengo, Christine
Institute of Structural and Molecular Biology · University College London
30 papers on CoChatORCID 0000-0002-7141-8936
Most cited papers
- Verified
The InterPro protein families and domains database: 20 years on
Blum, M., Chang, H.-Y., Chuguransky, S., Grego, T., Kandasaamy, S., Mitchell, A., Nuka, G., Paysan-Lafosse, T., Qureshi, M., Raj, S., et al. (2021) · Nucleic Acids Research
Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics
Cited by 2,231
- Verified
InterPro: the integrative protein signature database
Hunter, S., Apweiler, R., Attwood, T. K., Bairoch, A., Bateman, A., Binns, D., Bork, P., Das, U., Daugherty, L., Duquenne, L., et al. (2009) · Nucleic Acids Research
Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks
Cited by 2,107
- Verified
InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., Brown, S. D., Chang, H.-Y., El-Gebali, S., Fraser, M. I., et al. (2019) · Nucleic Acids Research
Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics
Cited by 1,426
- Verified
A large-scale evaluation of computational protein function prediction
Radivojac, P., Clark, W. T., Oron, T. R., Schnoes, A. M., Wittkop, T., Sokolov, A., Graim, K., Funk, C., Verspoor, K., Ben-Hur, A., et al. (2013) · Nature Methods
Bioinformatics and Genomic NetworksMachine Learning in Bioinformatics
Cited by 1,028
- Verified
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
- Verified
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Zhou, N., Jiang, Y., Bergquist, T. R., Lee, A. J., Kacsoh, B. Z., Crocker, A. W., Lewis, K. A., Georghiou, G., Nguyen, H. N., Hamid, M. N., et al. (2019) · Genome Biology
Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies
Cited by 452
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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
- Verified
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
- Verified
Protein Superfamily Evolution and the Last Universal Common Ancestor (LUCA)
Ranea, J. A. G., Sillero, A., Thornton, J. M., & Orengo, C. A. (2006) · Journal of Molecular Evolution
Genomics and Phylogenetic StudiesOrigins and Evolution of Life
Cited by 122
- Verified
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
- Verified
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
- Verified
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
- Verified
PDBe-KB: collaboratively defining the biological context of structural data
PDBe-KB consortium, Varadi, M., Anyango, S., Armstrong, D., Berrisford, J., Choudhary, P., Deshpande, M., Nadzirin, N., Nair, S. S., Pravda, L., et al. (2022) · Nucleic Acids Research
Enzyme Structure and FunctionProtein Structure and Dynamics
Cited by 82
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
Enhancing missense variant pathogenicity prediction with protein language models using VariPred
Lin, W., Wells, J., Wang, Z., Orengo, C., & Martin, A. C. R. (2024) · Scientific Reports
Genomics and Rare DiseasesMachine Learning in Bioinformatics
Cited by 34
- Verified
3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources
Varadi, M., Nair, S., Sillitoe, I., Tauriello, G., Anyango, S., Bienert, S., Borges, C., Deshpande, M., Green, T., Hassabis, D., et al. (2022) · GigaScience
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 32
- Verified
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
- Verified
Dissecting peripheral protein-membrane interfaces
Tubiana, T., Sillitoe, I., Orengo, C., & Reuter, N. (2022) · PLoS Computational Biology
Lipid Membrane Structure and BehaviorProtein Structure and Dynamics
Cited by 28
- Verified
Dissecting peripheral protein-membrane interfaces
Tubiana, T., Sillitoe, I., Orengo, C., & Reuter, N. (2022) · PLOS Computational Biology
Lipid Membrane Structure and BehaviorProtein Structure and Dynamics
Cited by 28
- Verified
ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models
Vallat, B., Tauriello, G., Bienert, S., Haas, J., Webb, B. M., Žídek, A., Zheng, W., Peisach, E., Piehl, D. W., Anischanka, I., et al. (2023) · Journal of Molecular Biology
Enzyme Structure and FunctionProtein Structure and Dynamics
Cited by 26
- Verified
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
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