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Matteo Cagiada
Matteo Cagiada
Verified email at bio.ku.dk
Title
Cited by
Cited by
Year
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation
MH Høie, M Cagiada, AHB Frederiksen, A Stein, K Lindorff-Larsen
Cell reports 38 (2), 2022
862022
Understanding the origins of loss of protein function by analyzing the effects of thousands of variants on activity and abundance
M Cagiada, KE Johansson, A Valančiūtė, SV Nielsen, ...
Molecular Biology and Evolution 95, 2021
702021
Rapid protein stability prediction using deep learning representations
LM Blaabjerg, MM Kassem, LL Good, N Jonsson, M Cagiada, ...
Elife 12, e82593, 2023
662023
Discovering functionally important sites in proteins
M Cagiada, S Bottaro, S Lindemose, SM Schenstrøm, A Stein, ...
Nature communications 14 (1), 4175, 2023
322023
A comprehensive map of human glucokinase variant activity
S Gersing, M Cagiada, M Gebbia, AP Gjesing, AG Coté, G Seesankar, ...
Genome Biology 24 (1), 97, 2023
312023
A mutational atlas for Parkin proteostasis
L Clausen, V Voutsinos, M Cagiada, KE Johansson, ...
Nature Communications 15 (1), 1541, 2024
122024
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
C Kampmeyer, M Grønbæk-Thygesen, N Oelerich, MH Tatham, ...
Cellular and Molecular Life Sciences 80 (6), 143, 2023
82023
Characterizing glucokinase variant mechanisms using a multiplexed abundance assay
S Gersing, TK Schulze, M Cagiada, A Stein, FP Roth, K Lindorff-Larsen, ...
Genome Biology 25 (1), 1-22, 2024
62024
14-fold increased prevalence of rare glucokinase gene variant carriers in unselected Danish patients with newly diagnosed type 2 diabetes
AP Gjesing, L Engelbrechtsen, ACB Thuesen, CT Have, M Hollensted, ...
Diabetes Research and Clinical Practice 194, 110159, 2022
62022
Effect of naturally-occurring mutations on the stability and function of cancer-associated NQO1: Comparison of experiments and computation
JL Pacheco-Garcia, M Cagiada, K Tienne-Matos, E Salido, ...
Frontiers in Molecular Biosciences 9, 1063620, 2022
62022
Statistical mechanical properties of sequence space determine the efficiency of the various algorithms to predict interaction energies and native contacts from protein coevolution
G Franco, M Cagiada, G Bussi, G Tiana
Physical Biology 16 (4), 046007, 2019
52019
Deep mutational scanning reveals a correlation between degradation and toxicity of thousands of aspartoacylase variants
M Grønbæk-Thygesen, V Voutsinos, KE Johansson, TK Schulze, ...
Nature Communications 15 (1), 4026, 2024
32024
Predicting absolute protein folding stability using generative models
M Cagiada, S Ovchinnikov, K Lindorff-Larsen
bioRxiv, 2024.03. 14.584940, 2024
32024
Rare Catechol-O-methyltransferase Missense Variants Are Structurally Unstable Proteasome Targets
FB Larsen, M Cagiada, J Dideriksen, A Stein, K Lindorff-Larsen, ...
Biochemistry 62 (8), 1394-1405, 2023
32023
Deep mutational scanning reveals a tight correlation between protein degradation and toxicity of thousands of non-native aspartoacylase protein variants
M Grønbæk-Thygesen, V Voutsinos, KE Johansson, TK Schulze, ...
BioRxiv, 2023.10. 02.560410, 2023
12023
A multiplexed assay of human glucokinase reveals thousands of potential disease variants with both decreased and increased activity
S Gersing, M Cagiada, M Gebbia, AP Gjesing, G Seesankar, A Stein, ...
BioRXiv, 2022.05. 04.490571, 2022
12022
OPEN ACCESS EDITED BY
D Dell'Orco, R Chiaraluce, C Travaglini-Allocatelli, AL Pey, ...
Computational and Experimental Protein Variant Interpretation in the Era of …, 2024
2024
Decoding molecular mechanisms for loss of function variants in the human proteome
M Cagiada, N Jonsson, K Lindorff-Larsen
bioRxiv, 2024.05. 21.595203, 2024
2024
Prediction of native contacts in proteins from an out--of--equilibrium coevolutionary process
D Oriani, M Cagiada, G Tiana
arXiv preprint arXiv:2002.03383, 2020
2020
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Articles 1–19