Sebastian Bittrich

Orcid: 0000-0003-3576-0387

According to our database1, Sebastian Bittrich authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning.
Nucleic Acids Res., January, 2023

2022
RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies.
Bioinform., 2022

RCSB Protein Data Bank: improved annotation, search and visualization of membrane protein structures archived in the PDB.
Bioinform., 2022

2021
Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures.
Nucleic Acids Res., 2021

RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.
Nucleic Acids Res., 2021

2020
BinaryCIF and CIFTools - Lightweight, efficient and extensible macromolecular data management.
PLoS Comput. Biol., 2020

Real-time structural motif searching in proteins using an inverted index strategy.
PLoS Comput. Biol., 2020

2019
Application of an interpretable classification model on Early Folding Residues during protein folding.
BioData Min., 2019

2018
Backbone Brackets and Arginine Tweezers delineate Class I and Class II aminoacyl tRNA synthetases.
PLoS Comput. Biol., 2018

2016
Fit3D: a web application for highly accurate screening of spatial residue patterns in protein structure data.
Bioinform., 2016

SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level.
BioData Min., 2016

eQuant - A Server for Fast Protein Model Quality Assessment by Integrating High-Dimensional Data and Machine Learning.
Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016


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