Jan Zaucha
Jan Zaucha
AstraZeneca, Data Science, Oncology R&D
Verified email at
Cited by
Cited by
The SUPERFAMILY 1.75 database in 2014: a doubling of data
ME Oates, J Stahlhacke, DV Vavoulis, B Smithers, OJL Rackham, ...
Nucleic acids research 43 (D1), D227-D233, 2015
An optimized quantitative proteomics method establishes the cell type‐resolved mouse brain secretome
J Tüshaus, SA Müller, ES Kataka, J Zaucha, L Sebastian Monasor, M Su, ...
The EMBO journal 39 (20), e105693, 2020
Crystallographic analysis of Neisseria meningitidis PorB extracellular loops potentially implicated in TLR2 recognition
C Kattner, DN Toussi, J Zaucha, LM Wetzler, N Rüppel, U Zachariae, ...
Journal of structural biology 185 (3), 440-447, 2014
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ...
Database 2019, 2019
Pred‐MutHTP: Prediction of disease‐causing and neutral mutations in human transmembrane proteins
A Kulandaisamy, J Zaucha, R Sakthivel, D Frishman, M Michael Gromiha
Human Mutation 41 (3), 581-590, 2020
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins
J Zaucha, M Heinzinger, A Kulandaisamy, E Kataka, ÓL Salvádor, ...
Briefings in Bioinformatics 22 (3), bbaa132, 2021
Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges
B Cai, B Li, N Kiga, J Thusberg, T Bergquist, YC Chen, N Niknafs, ...
Human Mutation, 2017
CerealsDB—new tools for the analysis of the wheat genome: update 2020
PA Wilkinson, AM Allen, S Tyrrell, LU Wingen, X Bian, MO Winfield, ...
Database 2020, baaa060, 2020
Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI
M Carraro, G Minervini, M Giollo, Y Bromberg, E Capriotti, R Casadio, ...
Human mutation 38 (9), 1042-1050, 2017
Identification of a cation transport pathway in Neisseria meningitidis PorB
C Kattner, J Zaucha, F Jaenecke, U Zachariae, M Tanabe
Proteins: Structure, Function, and Bioinformatics 81 (5), 830-840, 2013
MPTherm-pred: analysis and prediction of thermal stability changes upon mutations in transmembrane proteins
A Kulandaisamy, J Zaucha, D Frishman, MM Gromiha
Journal of Molecular Biology 433 (11), 166646, 2021
Family-specific analysis of variant pathogenicity prediction tools
J Zaucha, M Heinzinger, S Tarnovskaya, B Rost, D Frishman
NAR Genomics and Bioinformatics 2 (2), lqaa014, 2020
Neuronal Differentiation of LUHMES Cells Induces Substantial Changes of the Proteome
J Tüshaus, ES Kataka, J Zaucha, D Frishman, SA Müller, SF Lichtenthaler
PROTEOMICS, 2000174, 2020
CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases
L Kasak, JM Hunter, R Udani, C Bakolitsa, Z Hu, AN Adhikari, G Babbi, ...
Human mutation 40 (9), 1373-1391, 2019
Edgetic perturbation signatures represent known and novel cancer biomarkers
E Kataka, J Zaucha, G Frishman, A Ruepp, D Frishman
Scientific reports 10 (1), 4350, 2020
Resurrecting the Dead (Molecules)
J Zaucha, JG Heddle
Computational and structural biotechnology journal 15, 351-358, 2017
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Genome Biology 25 (1), 53, 2024
Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data
J Zaucha, CA Softley, M Sattler, D Frishman, GM Popowicz
Chemical Communications 56 (98), 15454-15457, 2020
A Proteome Quality Index
J Zaucha, J Stahlhacke, ME Oates, N Thurlby, OJL Rackham, H Fang, ...
Environmental microbiology 17 (1), 4-9, 2015
Detection of epistasis between ACTN3 and SNAP-25 with an insight towards gymnastic aptitude identification
ŁA Płóciennik, J Zaucha, JM Zaucha, K Łukaszuk, M Jóźwicki, ...
PloS one 15 (8), e0237808, 2020
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