Heinzinger M - Search Results

1

PredictProtein - Predicting Protein Structure and Function for 29 Years.

Bernhofer M, Dallago C, Karl T, Satagopam V, Heinzinger M, Littmann M, Olenyi T, Qiu J, Schütze K, Yachdav G, Ashkenazy H, Ben-Tal N, Bromberg Y, Goldberg T, Kajan L, O'Donoghue S, Sander C, Schafferhans A, Schlessinger A, Vriend G, Mirdita M, Gawron P, Gu W, Jarosz Y, Trefois C, Steinegger M, Schneider R, Rost B. Bernhofer M, et al. Among authors: heinzinger m. Nucleic Acids Res. 2021 Jul 2;49(W1):W535-W540. doi: 10.1093/nar/gkab354. Nucleic Acids Res. 2021. PMID: 33999203 Free PMC article.

2

Dark Proteins Important for Cellular Function.

Schafferhans A, O'Donoghue SI, Heinzinger M, Rost B. Schafferhans A, et al. Among authors: heinzinger m. Proteomics. 2018 Nov;18(21-22):e1800227. doi: 10.1002/pmic.201800227. Proteomics. 2018. PMID: 30318701

3

Modeling aspects of the language of life through transfer-learning protein sequences.

Heinzinger M, Elnaggar A, Wang Y, Dallago C, Nechaev D, Matthes F, Rost B. Heinzinger M, et al. BMC Bioinformatics. 2019 Dec 17;20(1):723. doi: 10.1186/s12859-019-3220-8. BMC Bioinformatics. 2019. PMID: 31847804 Free PMC article.

4

ProNA2020 predicts protein-DNA, protein-RNA, and protein-protein binding proteins and residues from sequence.

Qiu J, Bernhofer M, Heinzinger M, Kemper S, Norambuena T, Melo F, Rost B. Qiu J, et al. Among authors: heinzinger m. J Mol Biol. 2020 Mar 27;432(7):2428-2443. doi: 10.1016/j.jmb.2020.02.026. Epub 2020 Mar 4. J Mol Biol. 2020. PMID: 32142788

5

Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins.

Zaucha J, Heinzinger M, Kulandaisamy A, Kataka E, Salvádor ÓL, Popov P, Rost B, Gromiha MM, Zhorov BS, Frishman D. Zaucha J, et al. Among authors: heinzinger m. Brief Bioinform. 2021 May 20;22(3):bbaa132. doi: 10.1093/bib/bbaa132. Brief Bioinform. 2021. PMID: 32672331 Review.

6

Embeddings from deep learning transfer GO annotations beyond homology.

Littmann M, Heinzinger M, Dallago C, Olenyi T, Rost B. Littmann M, et al. Among authors: heinzinger m. Sci Rep. 2021 Jan 13;11(1):1160. doi: 10.1038/s41598-020-80786-0. Sci Rep. 2021. PMID: 33441905 Free PMC article.

7

Family-specific analysis of variant pathogenicity prediction tools.

Zaucha J, Heinzinger M, Tarnovskaya S, Rost B, Frishman D. Zaucha J, et al. Among authors: heinzinger m. NAR Genom Bioinform. 2020 Feb 28;2(2):lqaa014. doi: 10.1093/nargab/lqaa014. eCollection 2020 Jun. NAR Genom Bioinform. 2020. PMID: 33575576 Free PMC article.

8

Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.

Dallago C, Schütze K, Heinzinger M, Olenyi T, Littmann M, Lu AX, Yang KK, Min S, Yoon S, Morton JT, Rost B. Dallago C, et al. Among authors: heinzinger m. Curr Protoc. 2021 May;1(5):e113. doi: 10.1002/cpz1.113. Curr Protoc. 2021. PMID: 33961736 Free article.

9

Clustering FunFams using sequence embeddings improves EC purity.

Littmann M, Bordin N, Heinzinger M, Schütze K, Dallago C, Orengo C, Rost B. Littmann M, et al. Among authors: heinzinger m. Bioinformatics. 2021 Oct 25;37(20):3449-3455. doi: 10.1093/bioinformatics/btab371. Bioinformatics. 2021. PMID: 33978744 Free PMC article.

10

ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning.

Elnaggar A, Heinzinger M, Dallago C, Rehawi G, Wang Y, Jones L, Gibbs T, Feher T, Angerer C, Steinegger M, Bhowmik D, Rost B. Elnaggar A, et al. Among authors: heinzinger m. IEEE Trans Pattern Anal Mach Intell. 2022 Oct;44(10):7112-7127. doi: 10.1109/TPAMI.2021.3095381. Epub 2022 Sep 14. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 34232869

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