| Home > Publications database > AlphaPulldown2—a general pipeline for high-throughput structural modeling > print |
| 001 | 631515 | ||
| 005 | 20260114213536.0 | ||
| 024 | 7 | _ | |a 10.1093/bioinformatics/btaf115 |2 doi |
| 024 | 7 | _ | |a 1367-4803 |2 ISSN |
| 024 | 7 | _ | |a 0266-7061 |2 ISSN |
| 024 | 7 | _ | |a 1367-4811 |2 ISSN |
| 024 | 7 | _ | |a 1460-2059 |2 ISSN |
| 024 | 7 | _ | |a 10.3204/PUBDB-2025-02027 |2 datacite_doi |
| 037 | _ | _ | |a PUBDB-2025-02027 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Molodenskiy, Dmitry |0 P:(DE-H253)PIP1081930 |b 0 |
| 245 | _ | _ | |a AlphaPulldown2—a general pipeline for high-throughput structural modeling |
| 260 | _ | _ | |a Oxford |c 2025 |b Oxford Univ. Press |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1768381723_3311983 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a AlphaPulldown2 streamlines protein structural modeling by automating workflows, improving code adaptability, and optimizing data management for large-scale applications. It introduces an automated Snakemake pipeline, compressed data storage, support for additional modeling backends like UniFold and AlphaLink2, and a range of other improvements. These upgrades make AlphaPulldown2 a versatile platform for predicting both binary interactions and complex multi-unit assemblies. |
| 536 | _ | _ | |a 899 - ohne Topic (POF4-899) |0 G:(DE-HGF)POF4-899 |c POF4-899 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: bib-pubdb1.desy.de |
| 693 | _ | _ | |0 EXP:(DE-MLZ)NOSPEC-20140101 |5 EXP:(DE-MLZ)NOSPEC-20140101 |e No specific instrument |x 0 |
| 700 | 1 | _ | |a Maurer, Valentin J |0 P:(DE-H253)PIP1094157 |b 1 |
| 700 | 1 | _ | |a Yu, Dingquan |0 P:(DE-H253)PIP1094728 |b 2 |
| 700 | 1 | _ | |a Chojnowski, Grzegorz |b 3 |
| 700 | 1 | _ | |a Bienert, Stefan |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Tauriello, Gerardo |0 0000-0002-5921-7007 |b 5 |
| 700 | 1 | _ | |a Gilep, Konstantin |b 6 |
| 700 | 1 | _ | |a Schwede, Torsten |0 0000-0003-2715-335X |b 7 |
| 700 | 1 | _ | |a Kosinski, Jan |0 0000-0002-3641-0322 |b 8 |e Corresponding author |
| 773 | _ | _ | |a 10.1093/bioinformatics/btaf115 |g Vol. 41, no. 3, p. btaf115 |0 PERI:(DE-600)1468345-3 |n 3 |p btaf115 |t Bioinformatics |v 41 |y 2025 |x 1367-4803 |
| 856 | 4 | _ | |y OpenAccess |u https://bib-pubdb1.desy.de/record/631515/files/btaf115.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://bib-pubdb1.desy.de/record/631515/files/btaf115.pdf?subformat=pdfa |
| 909 | C | O | |o oai:bib-pubdb1.desy.de:631515 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Centre for Structural Systems Biology |0 I:(DE-H253)_CSSB-20140311 |k CSSB |b 0 |6 P:(DE-H253)PIP1081930 |
| 910 | 1 | _ | |a Centre for Structural Systems Biology |0 I:(DE-H253)_CSSB-20140311 |k CSSB |b 1 |6 P:(DE-H253)PIP1094157 |
| 910 | 1 | _ | |a Centre for Structural Systems Biology |0 I:(DE-H253)_CSSB-20140311 |k CSSB |b 2 |6 P:(DE-H253)PIP1094728 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 2 |6 P:(DE-H253)PIP1094728 |
| 913 | 1 | _ | |a DE-HGF |b Programmungebundene Forschung |l ohne Programm |1 G:(DE-HGF)POF4-890 |0 G:(DE-HGF)POF4-899 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-800 |4 G:(DE-HGF)POF |v ohne Topic |x 0 |
| 914 | 1 | _ | |y 2025 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-13 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BIOINFORMATICS : 2022 |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2024-04-03T10:36:50Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2024-12-13 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2024-12-13 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-13 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2024-04-03T10:36:50Z |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2024-12-13 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b BIOINFORMATICS : 2022 |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-13 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2024-04-03T10:36:50Z |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2024-12-13 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-13 |
| 920 | 1 | _ | |0 I:(DE-H253)CSSB-EMBL-JK-20210701 |k CSSB-EMBL-JK |l CSSB-EMBL-JK |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-H253)CSSB-EMBL-JK-20210701 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|