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Patrick Bryant
Patrick Bryant
Stockholm University, SciLifeLab
Zweryfikowany adres z scilifelab.se - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Improved prediction of protein-protein interactions using AlphaFold2
P Bryant, G Pozzati, A Elofsson
Nature communications 13 (1), 1265, 2022
4852022
A structural biology community assessment of AlphaFold2 applications
M Akdel, DEV Pires, EP Pardo, J Jänes, AO Zalevsky, B Mészáros, ...
Nature Structural & Molecular Biology 29 (11), 1056-1067, 2022
3572022
Towards a structurally resolved human protein interaction network
DF Burke, P Bryant, I Barrio-Hernandez, D Memon, G Pozzati, A Shenoy, ...
Nature Structural & Molecular Biology 30 (2), 216-225, 2023
1162023
Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search
P Bryant, G Pozzati, W Zhu, A Shenoy, P Kundrotas, A Elofsson
Nature communications 13 (1), 6028, 2022
1022022
Estimating the impact of mobility patterns on COVID-19 infection rates in 11 European countries
P Bryant, A Elofsson
PeerJ 8, e9879, 2020
622020
Deep learning for protein complex structure prediction
P Bryant
Current opinion in structural biology 79, 102529, 2023
142023
EvoBind: in silico directed evolution of peptide binders with AlphaFold
P Bryant, A Elofsson
bioRxiv, 2022.07. 23.501214, 2022
142022
Consensus paper: Cerebellum and ageing
A Arleo, M Bareš, JA Bernard, HR Bogoian, MMK Bruchhage, P Bryant, ...
The Cerebellum, 1-31, 2023
112023
Recurrent, low-frequency coding variants contributing to colorectal cancer in the Swedish population
X Jiao, W Liu, H Mahdessian, P Bryant, J Ringdahl, M Timofeeva, ...
Plos one 13 (3), e0193547, 2018
112018
Linkage analysis revealed risk loci on 6p21 and 18p11. 2-q11. 2 in familial colon and rectal cancer, respectively
S von Holst, X Jiao, W Liu, V Kontham, J Thutkawkorapin, J Ringdahl, ...
European Journal of Human Genetics 27 (8), 1286-1295, 2019
72019
The limits of estimating COVID-19 intervention effects using Bayesian models
P Bryant, A Elofsson
medRxiv, 2020.08. 14.20175240, 2020
62020
Structure prediction of protein-ligand complexes from sequence information with Umol
P Bryant, A Kelkar, A Guljas, C Clementi, F Noé
bioRxiv, 2023.11. 03.565471, 2023
42023
Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile
P Bryant, F Noe
bioRxiv, 2023.07. 04.547638, 2023
42023
Structure prediction of alternative protein conformations
P Bryant
bioRxiv, 2023.09. 25.559256, 2023
32023
Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning
P Bryant, F Noe
bioRxiv, 2023.04. 15.536993, 2023
32023
Exome sequencing in a Swedish family with PMS2 mutation with varying penetrance of colorectal cancer: investigating the presence of genetic risk modifiers in colorectal cancer risk
P Bryant, SW Bernstedt, J Thutkawkorapin, AS Backman, A Lindblom, ...
European Journal of Cancer Prevention 32 (2), 113-118, 2023
22023
The relationship between ageing and changes in the human blood and brain methylomes
P Bryant, A Elofsson
NAR Genomics and Bioinformatics 4 (1), lqac001, 2022
22022
Peptide binder design with inverse folding and protein structure prediction
P Bryant, A Elofsson
Communications Chemistry 6 (1), 229, 2023
12023
A Swedish Genome-Wide Haplotype Association Analysis Identifies a Novel Breast Cancer Susceptibility Locus in 8p21. 2 and Characterizes Three Loci on Chromosomes 10, 11 and 16
E Barnekow, W Liu, HT Helgadottir, K Michailidou, J Dennis, P Bryant, ...
Cancers 14 (5), 1206, 2022
12022
Decomposing structural response due to sequence changes in protein domains with machine learning
P Bryant, A Elofsson
Journal of molecular biology 432 (16), 4435-4446, 2020
12020
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