Mahlich Y - Search Results

1

Learning from the unknown: exploring the range of bacterial functionality.

Mahlich Y, Zhu C, Chung H, Velaga PK, De Paolis Kaluza MC, Radivojac P, Friedberg I, Bromberg Y. Mahlich Y, et al. Nucleic Acids Res. 2023 Oct 27;51(19):10162-10175. doi: 10.1093/nar/gkad757. Nucleic Acids Res. 2023. PMID: 37739408 Free PMC article.

2

Quantifying structural relationships of metal-binding sites suggests origins of biological electron transfer.

Bromberg Y, Aptekmann AA, Mahlich Y, Cook L, Senn S, Miller M, Nanda V, Ferreiro DU, Falkowski PG. Bromberg Y, et al. Among authors: mahlich y. Sci Adv. 2022 Jan 14;8(2):eabj3984. doi: 10.1126/sciadv.abj3984. Epub 2022 Jan 14. Sci Adv. 2022. PMID: 35030025 Free PMC article.

3

Low Diversity of Human Variation Despite Mostly Mild Functional Impact of De Novo Variants.

Mahlich Y, Miller M, Zeng Z, Bromberg Y. Mahlich Y, et al. Front Mol Biosci. 2021 Mar 18;8:635382. doi: 10.3389/fmolb.2021.635382. eCollection 2021. Front Mol Biosci. 2021. PMID: 33816556 Free PMC article.

4

Fingerprinting cities: differentiating subway microbiome functionality.

Zhu C, Miller M, Lusskin N, Mahlich Y, Wang Y, Zeng Z, Bromberg Y. Zhu C, et al. Among authors: mahlich y. Biol Direct. 2019 Oct 30;14(1):19. doi: 10.1186/s13062-019-0252-y. Biol Direct. 2019. PMID: 31666099 Free PMC article.

5

HFSP: high speed homology-driven function annotation of proteins.

Mahlich Y, Steinegger M, Rost B, Bromberg Y. Mahlich Y, et al. Bioinformatics. 2018 Jul 1;34(13):i304-i312. doi: 10.1093/bioinformatics/bty262. Bioinformatics. 2018. PMID: 29950013 Free PMC article.

6

fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks.

Zhu C, Mahlich Y, Miller M, Bromberg Y. Zhu C, et al. Among authors: mahlich y. Nucleic Acids Res. 2018 Jan 4;46(D1):D1283. doi: 10.1093/nar/gkx1212. Nucleic Acids Res. 2018. PMID: 29194481 Free PMC article. No abstract available.

7

fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks.

Zhu C, Mahlich Y, Miller M, Bromberg Y. Zhu C, et al. Among authors: mahlich y. Nucleic Acids Res. 2018 Jan 4;46(D1):D535-D541. doi: 10.1093/nar/gkx1060. Nucleic Acids Res. 2018. PMID: 29112720 Free PMC article.

8

Common sequence variants affect molecular function more than rare variants?

Mahlich Y, Reeb J, Hecht M, Schelling M, De Beer TAP, Bromberg Y, Rost B. Mahlich Y, et al. Sci Rep. 2017 May 9;7(1):1608. doi: 10.1038/s41598-017-01054-2. Sci Rep. 2017. PMID: 28487536 Free PMC article.

9

Predicted Molecular Effects of Sequence Variants Link to System Level of Disease.

Reeb J, Hecht M, Mahlich Y, Bromberg Y, Rost B. Reeb J, et al. Among authors: mahlich y. PLoS Comput Biol. 2016 Aug 18;12(8):e1005047. doi: 10.1371/journal.pcbi.1005047. eCollection 2016 Aug. PLoS Comput Biol. 2016. PMID: 27536940 Free PMC article.

10

Homology-based inference sets the bar high for protein function prediction.

Hamp T, Kassner R, Seemayer S, Vicedo E, Schaefer C, Achten D, Auer F, Boehm A, Braun T, Hecht M, Heron M, Hönigschmid P, Hopf TA, Kaufmann S, Kiening M, Krompass D, Landerer C, Mahlich Y, Roos M, Rost B. Hamp T, et al. Among authors: mahlich y. BMC Bioinformatics. 2013;14 Suppl 3(Suppl 3):S7. doi: 10.1186/1471-2105-14-S3-S7. Epub 2013 Feb 28. BMC Bioinformatics. 2013. PMID: 23514582 Free PMC article.

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