Mateusz Maciejewski
Mateusz Maciejewski
VP of Data Science at Korro Bio
Verified email at - Homepage
Cited by
Cited by
Peptide–TLR-7/8a conjugate vaccines chemically programmed for nanoparticle self-assembly enhance CD8 T-cell immunity to tumor antigens
GM Lynn, C Sedlik, F Baharom, Y Zhu, RA Ramirez-Valdez, VL Coble, ...
Nature biotechnology 38 (3), 320-332, 2020
New analogs of the clinical complement inhibitor compstatin with subnanomolar affinity and enhanced pharmacokinetic properties
H Qu, D Ricklin, H Bai, H Chen, ES Reis, M Maciejewski, A Tzekou, ...
Immunobiology 218 (4), 496-505, 2013
Public domain HTS fingerprints: design and evaluation of compound bioactivity profiles from PubChem’s bioassay repository
KY Helal, M Maciejewski, E Gregori-Puigjane, M Glick, AM Wassermann
Journal of chemical information and modeling 56 (2), 390-398, 2016
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ...
BMC bioinformatics 21 (1), 1-18, 2020
Profiling of gene expression biomarkers as a classifier of methotrexate nonresponse in patients with rheumatoid arthritis
D Plant, M Maciejewski, S Smith, N Nair, ...
Arthritis & Rheumatology 71 (5), 678-684, 2019
Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets
M Maciejewski, E Lounkine, S Whitebread, P Farmer, W DuMouchel, ...
Elife 6, e25818, 2017
Using mutagenesis and structural biology to map the binding site for the Plasmodium falciparum merozoite protein PfRh4 on the human immune adherence receptor
HJ Park, M Guariento, M Maciejewski, R Hauhart, WH Tham, AF Cowman, ...
Journal of Biological Chemistry 289 (1), 450-463, 2014
Solution structure of CCP modules 10–12 illuminates functional architecture of the complement regulator, factor H
E Makou, HDT Mertens, M Maciejewski, DC Soares, I Matis, CQ Schmidt, ...
Journal of molecular biology 424 (5), 295-312, 2012
A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease
L Han, M Maciejewski, C Brockel, W Gordon, SB Snapper, JR Korzenik, ...
Bioinformatics 34 (6), 985-993, 2018
Estimation of interdomain flexibility of N-terminus of factor H using residual dipolar couplings
M Maciejewski, N Tjandra, PN Barlow
Biochemistry 50 (38), 8138-8149, 2011
Implications of dynamic occupancy, binding kinetics, and channel gating kinetics for hERG blocker safety assessment and mitigation
R A Pearlstein, K Andrew MacCannell, G Erdemli, S Yeola, G Helmlinger, ...
Current Topics in Medicinal Chemistry 16 (16), 1792-1818, 2016
The RA-MAP Consortium: a working model for academia–industry collaboration
AP Cope, MR Barnes, A Belson, M Binks, S Brockbank, ...
Nature Reviews Rheumatology 14 (1), 53-60, 2018
Diversity Selection of Compounds Based on ‘Protein Affinity Fingerprints’ Improves Sampling of Bioactive Chemical Space
HP Nguyen, A Koutsoukas, F Mohd Fauzi, G Drakakis, M Maciejewski, ...
Chemical Biology & Drug Design 82 (3), 252-266, 2013
Molecular profiling of ulcerative colitis subjects from the TURANDOT trial reveals novel pharmacodynamic/efficacy biomarkers
H Zhou, L Xi, D Ziemek, S O’Neil, J Lee, Z Stewart, Y Zhan, S Zhao, ...
Journal of Crohn's and Colitis 13 (6), 702-713, 2019
Experimental Design Strategy: Weak Reinforcement Leads to Increased Hit Rates and Enhanced Chemical Diversity
M Maciejewski, AM Wassermann, M Glick, E Lounkine
Journal of chemical information and modeling, 2015
Translation of off-target effects: prediction of ADRs by integrated experimental and computational approach
L Urban, M Maciejewski, E Lounkine, S Whitebread, JL Jenkins, J Hamon, ...
Toxicology Research 3 (6), 433-444, 2014
Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritis
N Yoosuf, M Maciejewski, D Ziemek, SA Jelinsky, L Folkersen, M Müller, ...
Rheumatology 61 (4), 1680-1689, 2022
Prediction of response of methotrexate in patients with rheumatoid arthritis using serum lipidomics
M Maciejewski, C Sands, N Nair, S Ling, S Verstappen, K Hyrich, A Barton, ...
Scientific Reports 11 (1), 7266, 2021
What is the persistence to methotrexate in rheumatoid arthritis, and does machine learning outperform hypothesis‐based approaches to its prediction?
H Westerlind, M Maciejewski, T Frisell, SA Jelinsky, D Ziemek, J Askling
ACR Open Rheumatology 3 (7), 457-463, 2021
Hyrich K, et al
D Plant, M Maciejewski, S Smith, N Nair, ...
Profiling of gene expression biomarkers as a classifier of methotrexate …, 2019
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