Protein Structure Relationships Revealed by Mutational Analysis

By C. Yanofsky, V. Horn, D. Thorpe. 1964

Subfields: Computational Biology & Bioinformatics

How researchers see this paper

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

In Computational Biology & Bioinformatics

1. Alexander Rives
2. Lukas Burger
3. Yan Duan
4. Yun S. Song
5. Pieter Abbeel
6. C. Lawrence Zitnick
7. John F. Canny
8. Neil Thomas

Citations in the corpus

• Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences (2019, background): “The idea that biological function and structure are recorded in the statistics of protein sequences selected through evolution has a long history (Yanofsky et al., 1964; Altschuh et al., 1987; 1988).”
• Evaluating Protein Transfer Learning with TAPE (2019, background): “Billions of years of evolution have sampled the portions of protein sequence space that are relevant to life, so large unlabeled datasets of protein sequences are expected to contain significant biological information [2–4].”
• Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments (2010, background): “Indeed such dependencies are evident for RNA (eg [3,4]) and protein sequences [5,6].”