Jan Zaucha
Jan Zaucha
AstraZeneca, Early Computational Oncology R&D
Потвърден имейл адрес: astrazeneca.com
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
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
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
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
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
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
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, 2020
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
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
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
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
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
Resurrecting the Dead (Molecules)
J Zaucha, JG Heddle
Computational and structural biotechnology journal 15, 351-358, 2017
Edgetic perturbation signatures represent known and novel cancer biomarkers
E Kataka, J Zaucha, G Frishman, A Ruepp, D Frishman
Scientific Reports 10 (1), 1-16, 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
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
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
Determining phenotype from genotype
J Gough, J Zaucha, N Thurlby
US Patent App. 16/070,920, 2020
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Статии 1–20