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Yannick Mahlich
Yannick Mahlich
Post-doctoral Associate, Rutgers University
Verified email at bromberglab.org
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Cited by
Year
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
10352013
Homology-based inference sets the bar high for protein function prediction
T Hamp, R Kassner, S Seemayer, E Vicedo, C Schaefer, D Achten, F Auer, ...
BMC bioinformatics 14 (S3), S7, 2013
592013
fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks
C Zhu, Y Mahlich, M Miller, Y Bromberg
Nucleic acids research 46 (D1), D535-D541, 2018
352018
HFSP: high speed homology-driven function annotation of proteins
Y Mahlich, M Steinegger, B Rost, Y Bromberg
Bioinformatics 34 (13), i304-i312, 2018
312018
Quantifying structural relationships of metal-binding sites suggests origins of biological electron transfer
Y Bromberg, AA Aptekmann, Y Mahlich, L Cook, S Senn, M Miller, ...
Science advances 8 (2), eabj3984, 2022
282022
Common sequence variants affect molecular function more than rare variants?
Y Mahlich, J Reeb, M Hecht, M Schelling, TAP De Beer, Y Bromberg, ...
Scientific reports 7 (1), 1608, 2017
252017
Predicted molecular effects of sequence variants link to system level of disease
J Reeb, M Hecht, Y Mahlich, Y Bromberg, B Rost
PLoS computational biology 12 (8), e1005047, 2016
222016
Fingerprinting cities: differentiating subway microbiome functionality
C Zhu, M Miller, N Lusskin, Y Mahlich, Y Wang, Z Zeng, Y Bromberg
Biology direct 14, 1-10, 2019
192019
Computational Approaches for Unraveling the Effects of Variation in the Human Genome and Microbiome
C Zhu, M Miller, Z Zeng, Y Wang, Y Mahlich, A Aptekmann, Y Bromberg
Annual Review of Biomedical Data Science 3, 411-432, 2020
62020
Low Diversity of Human Variation Despite Mostly Mild Functional Impact of De Novo Variants
Y Mahlich, M Miller, Z Zeng, Y Bromberg
Frontiers in molecular biosciences 8, 635382, 2021
32021
An exhaustive analysis of single amino acid variants in helical transmembrane proteins
O Llorian-Salvador, M Bernhofer, Y Mahlich, B Rost
bioRxiv, 2019.12. 18.881318, 2019
22019
Learning from the unknown: exploring the range of bacterial functionality
Y Mahlich, C Zhu, H Chung, PK Velaga, MC De Paolis Kaluza, ...
Nucleic Acids Research, gkad757, 2023
2023
Rethinking bacterial relationships in light of their molecular abilities
Y Mahlich, C Zhu, H Chung, PK Velaga, MC de Paolis Kaluza, ...
bioRxiv, 2022.11. 28.518265, 2022
2022
Predicting functional capabilities of microbes using a similarity graph approach
Y Mahlich
Technische Universität München, 2019
2019
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