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Current Opinion in Structural Biology
|
February 19, 2026
Moving the antibody: Molecular dynamics for molecular mechanisms and developability
Matteo Cagiada, Charlotte M Deane
Protein Science : a Publication of the Protein Society
|
December 14, 2024
Predicting absolute protein folding stability using generative models
Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff-Larsen
Protein Science : a Publication of the Protein Society
|
March 8, 2026
Supervised learning of protein variant effects across large-scale mutagenesis datasets
Thea K Schulze, Lasse M Blaabjerg, Matteo Cagiada, et al.
Current Opinion in Structural Biology
|
January 25, 2025
Challenges and compromises: Predicting unbound antibody structures with deep learning
Alexander Greenshields-Watson, Odysseas Vavourakis, Fabian C Spoendlin, et al.
Cell Reports
|
January 12, 2022
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation
Magnus Haraldson Høie, Matteo Cagiada, Anders Haagen Beck Frederiksen, et al.
Biochemistry
|
March 28, 2023
Rare Catechol-<i>O</i>-methyltransferase Missense Variants Are Structurally Unstable Proteasome Targets
Fia B Larsen, Matteo Cagiada, Jonas Dideriksen, et al.
Nature Communications
|
July 14, 2023
Discovering functionally important sites in proteins
Matteo Cagiada, Sandro Bottaro, Søren Lindemose, et al.
Frontiers in Molecular Biosciences
|
December 12, 2022
Effect of naturally-occurring mutations on the stability and function of cancer-associated NQO1: Comparison of experiments and computation
Juan Luis Pacheco-Garcia, Matteo Cagiada, Kelly Tienne-Matos, et al.
Genome Biology
|
April 16, 2024
Characterizing glucokinase variant mechanisms using a multiplexed abundance assay
Sarah Gersing, Thea K Schulze, Matteo Cagiada, et al.
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Characterizing glucokinase variant mechanisms using a multiplexed abundance assay
Sarah Gersing, Thea K Schulze, Matteo Cagiada, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Current Opinion in Structural Biology
|
February 19, 2026
Moving the antibody: Molecular dynamics for molecular mechanisms and developability
Matteo Cagiada, Charlotte M Deane
Protein Science : a Publication of the Protein Society
|
December 14, 2024
Predicting absolute protein folding stability using generative models
Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff-Larsen
Protein Science : a Publication of the Protein Society
|
March 8, 2026
Supervised learning of protein variant effects across large-scale mutagenesis datasets
Thea K Schulze, Lasse M Blaabjerg, Matteo Cagiada, et al.
Current Opinion in Structural Biology
|
January 25, 2025
Challenges and compromises: Predicting unbound antibody structures with deep learning
Alexander Greenshields-Watson, Odysseas Vavourakis, Fabian C Spoendlin, et al.
Cell Reports
|
January 12, 2022
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation
Magnus Haraldson Høie, Matteo Cagiada, Anders Haagen Beck Frederiksen, et al.
Biochemistry
|
March 28, 2023
Rare Catechol-<i>O</i>-methyltransferase Missense Variants Are Structurally Unstable Proteasome Targets
Fia B Larsen, Matteo Cagiada, Jonas Dideriksen, et al.
Nature Communications
|
July 14, 2023
Discovering functionally important sites in proteins
Matteo Cagiada, Sandro Bottaro, Søren Lindemose, et al.
Frontiers in Molecular Biosciences
|
December 12, 2022
Effect of naturally-occurring mutations on the stability and function of cancer-associated NQO1: Comparison of experiments and computation
Juan Luis Pacheco-Garcia, Matteo Cagiada, Kelly Tienne-Matos, et al.
Genome Biology
|
April 16, 2024
Characterizing glucokinase variant mechanisms using a multiplexed abundance assay
Sarah Gersing, Thea K Schulze, Matteo Cagiada, et al.
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Characterizing glucokinase variant mechanisms using a multiplexed abundance assay
Sarah Gersing, Thea K Schulze, Matteo Cagiada, et al.
Page
of 2