TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows

By Tristan Cragnolini, Harpal Sahota, Agnel Praveen Joseph, Aaron Sweeney, Sony Malhotra, Daven Vasishtan, Maya Topf. 2021

29 citations recorded by the source corpus.

TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is presented.

Subfields: Atomic and Molecular Physics, and Optics, Structural Biology, Surfaces, Coatings and Films

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Structural Biology

1. Tristan Cragnolini
2. J. Beton
3. Maya Topf
4. Thomas Mulvaney
5. Manaz Kaleel
6. Aaron Sweeney
7. Yang Zhang

In Surfaces, Coatings and Films

1. J. Beton
2. Maya Topf
3. Tristan Cragnolini
4. Thomas Mulvaney
5. Manaz Kaleel
6. Aaron Sweeney

Citations in the corpus

• Assessment of three-dimensional RNA structure prediction in CASP15 (2023, neutral): “Code for the analysis can be found at https://github.com/DasLab/CASP15_RNA_EM.”
• Integrating model simulation tools and cryo‐electron microscopy (2022, methodology): “116,213 Another example is the TEMPy python library, 174,206 which contains implementations of CC (or scores similar to CC such as Mander's Overlap) as local scores.”
• New prediction categories in CASP15 (2023, background): “25 Given two sets of interactions, one for the model and 27,28 It is worth noting that model-independent measures are known to overinflate scores for compressed models with unrealistic geometries.”