Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.

Literature DB >> 29707703

Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.

Tristan Bepler^1,2, Andrew Morin^2,3, Alex J Noble⁴, Julia Brasch⁵, Lawrence Shapiro^5,6, Bonnie Berger^1,2,3.

Abstract

Entities: Chemical

Year: 2018 PMID： 29707703 PMCID： PMC5917602

Source DB: PubMed Journal: Res Comput Mol Biol

× No keyword cloud information.

2 in total

1. EMAN2: an extensible image processing suite for electron microscopy.

Authors: Guang Tang; Liwei Peng; Philip R Baldwin; Deepinder S Mann; Wen Jiang; Ian Rees; Steven J Ludtke
Journal: J Struct Biol Date: 2006-06-08 Impact factor: 2.867

2. Addressing preferred specimen orientation in single-particle cryo-EM through tilting.

Authors: Yong Zi Tan; Philip R Baldwin; Joseph H Davis; James R Williamson; Clinton S Potter; Bridget Carragher; Dmitry Lyumkis
Journal: Nat Methods Date: 2017-07-03 Impact factor: 28.547

2 in total

12 in total

1. APPLE picker: Automatic particle picking, a low-effort cryo-EM framework.

Authors: Ayelet Heimowitz; Joakim Andén; Amit Singer
Journal: J Struct Biol Date: 2018-08-19 Impact factor: 2.867

2. Structural basis for the docking of mTORC1 on the lysosomal surface.

Authors: Kacper B Rogala; Xin Gu; Jibril F Kedir; Monther Abu-Remaileh; Laura F Bianchi; Alexia M S Bottino; Rikke Dueholm; Anna Niehaus; Daan Overwijn; Ange-Célia Priso Fils; Sherry X Zhou; Daniel Leary; Nouf N Laqtom; Edward J Brignole; David M Sabatini
Journal: Science Date: 2019-10-10 Impact factor: 47.728

3. Target site selection and remodelling by type V CRISPR-transposon systems.

Authors: Irma Querques; Michael Schmitz; Seraina Oberli; Christelle Chanez; Martin Jinek
Journal: Nature Date: 2021-11-10 Impact factor: 69.504

4. Structural basis for the assembly and quinone transport mechanisms of the dimeric photosynthetic RC-LH1 supercomplex.

Authors: Peng Cao; Laura Bracun; Atsushi Yamagata; Bern M Christianson; Tatsuki Negami; Baohua Zou; Tohru Terada; Daniel P Canniffe; Mikako Shirouzu; Mei Li; Lu-Ning Liu
Journal: Nat Commun Date: 2022-04-13 Impact factor: 17.694

5. Structure of a trapped radical transfer pathway within a ribonucleotide reductase holocomplex.

Authors: Gyunghoon Kang; Alexander T Taguchi; JoAnne Stubbe; Catherine L Drennan
Journal: Science Date: 2020-03-26 Impact factor: 47.728

6. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.

Authors: Thorsten Wagner; Felipe Merino; Markus Stabrin; Toshio Moriya; Claudia Antoni; Amir Apelbaum; Philine Hagel; Oleg Sitsel; Tobias Raisch; Daniel Prumbaum; Dennis Quentin; Daniel Roderer; Sebastian Tacke; Birte Siebolds; Evelyn Schubert; Tanvir R Shaikh; Pascal Lill; Christos Gatsogiannis; Stefan Raunser
Journal: Commun Biol Date: 2019-06-19

Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.

1. EMAN2: an extensible image processing suite for electron microscopy.

2. Addressing preferred specimen orientation in single-particle cryo-EM through tilting.

1. APPLE picker: Automatic particle picking, a low-effort cryo-EM framework.

2. Structural basis for the docking of mTORC1 on the lysosomal surface.

3. Target site selection and remodelling by type V CRISPR-transposon systems.

4. Structural basis for the assembly and quinone transport mechanisms of the dimeric photosynthetic RC-LH1 supercomplex.

5. Structure of a trapped radical transfer pathway within a ribonucleotide reductase holocomplex.

6. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.

7. Structural Biology in the Multi-Omics Era.

Review 8. Probing lncRNA-Protein Interactions: Data Repositories, Models, and Algorithms.

9. Machine learning and big scientific data.

10. Detecting Protein Communities in Native Cell Extracts by Machine Learning: A Structural Biologist's Perspective.