Qingzhen Hou
Qingzhen Hou
3BIO-BioInfo - BioModeling, BioInformatics & BioProcesses, Université Libre de Bruxelles
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Seeing the trees through the forest: sequence-based homo-and heteromeric protein-protein interaction sites prediction using random forest
Q Hou, PFG De Geest, WF Vranken, J Heringa, KA Feenstra
Bioinformatics 33 (10), 1479-1487, 2017
Computational analysis of the amino acid interactions that promote or decrease protein solubility
Q Hou, R Bourgeas, F Pucci, M Rooman
Scientific reports 8 (1), 1-13, 2018
Parents’ decisions to vaccinate children against COVID-19: a scoping review
F Pan, H Zhao, S Nicholas, E Maitland, R Liu, Q Hou
Vaccines 9 (12), 1476, 2021
A comprehensive computational study of amino acid interactions in membrane proteins
MN Mbaye, Q Hou, S Basu, F Teheux, F Pucci, M Rooman
Scientific reports 9 (1), 12043, 2019
SOLart: a structure-based method to predict protein solubility and aggregation
Q Hou, JM Kwasigroch, M Rooman, F Pucci
Bioinformatics 36 (5), 1445-1452, 2020
Club-martini: selecting favourable interactions amongst available candidates, a coarse-grained simulation approach to scoring docking decoys
Q Hou, MF Lensink, J Heringa, KA Feenstra
PloS one 11 (5), e0155251, 2016
SeRenDIP: SEquential REmasteriNg to DerIve profiles for fast and accurate predictions of PPI interface positions
Q Hou, PFG De Geest, CJ Griffioen, S Abeln, J Heringa, KA Feenstra
Bioinformatics 35 (22), 4794-4796, 2019
SeRenDIP-CE: sequence-based interface prediction for conformational epitopes
Q Hou, B Stringer, K Waury, H Capel, R Haydarlou, F Xue, S Abeln, ...
Bioinformatics 37 (20), 3421-3427, 2021
Sequence specificity between interacting and non-interacting homologs identifies interface residues–a homodimer and monomer use case
Q Hou, BE Dutilh, MA Huynen, J Heringa, KA Feenstra
BMC bioinformatics 16 (1), 1-12, 2015
SWOTein: a structure-based approach to predict stability strengths and weaknesses of prOTEINs
Q Hou, F Pucci, F Ancien, JM Kwasigroch, R Bourgeas, M Rooman
Bioinformatics 37 (14), 1963-1971, 2021
Using metagenomic data to boost protein structure prediction and discovery
Q Hou, F Pucci, F Pan, F Xue, M Rooman, Q Feng
Computational and Structural Biotechnology Journal, 2022
MPI-VGAE: protein–metabolite enzymatic reaction link learning by variational graph autoencoders
C Wang, C Yuan, Y Wang, R Chen, Y Shi, T Zhang, F Xue, GJ Patti, L Wei, ...
Briefings in Bioinformatics, bbad189, 2023
Enzyme stability-activity trade-off: new insights from protein stability weaknesses and evolutionary conservation
Q Hou, M Rooman, F Pucci
bioRxiv, 2023.05. 02.539073, 2023
Genome-scale enzymatic reaction prediction by variational graph autoencoders
C Wang, C Yuan, Y Wang, R Chen, Y Shi, G Patti, Q Hou
bioRxiv, 2023.03. 08.531729, 2023
From the hydrophobic core to the globular-disorder interface: New challenges and insights into protein design
S Basu, D Chakravarty, Q Hou, VN Uversky
Frontiers in Molecular Biosciences 10, 2023
Ten quick tips for sequence-based prediction of protein properties using machine learning
Q Hou, K Waury, D Gogishvili, KA Feenstra
PLOS Computational Biology 18 (12), e1010669, 2022
SWOTein: a structure-based approach to predict stability Strengths and Weaknesses of prOTEINs
RB Kwasigroch, M Rooman
Amino acid pair interactions in membrane proteins investigated with the statistical potential formalism
MN Mbaye, Q Hou, F Pucci, M Rooman
New statistical potentials for probing protein binding affinity at the interactome scale
F Pucci, Q Hou, JM Kwasigroch, M Rooman
FEBS JOURNAL 284, 43-44, 2017
Multi-Scale Investigation of Protein-Protein Interactions
Q Hou
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