Devlina Chakravarty

Molecular Biology · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Devlina Chakravarty trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michael L. Waskom
  2. Lauren L. Porter
  3. Itay Mayrose
  4. L. Looger
  5. Rohit V. Pappu
  6. S. Parasuraman
  7. Kathryn Tunyasuvunakool
  8. John M. Jumper
  9. Dan-Ovidiu Graur
  10. Nir Ben-Tal

Papers from Devlina Chakravarty's perspective

Ordered by how strongly the researchers Devlina Chakravarty trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Highly accurate protein structure prediction for the human proteome
  2. SciPy 1.0: fundamental algorithms for scientific computing in Python
  3. Highly accurate protein structure prediction with AlphaFold
  4. The Protein Data Bank.
  5. Protein data bank
  6. Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior. (Molecular biology and evolution)
  7. Scikit-learn: Machine Learning in Python
  8. Structural basis of the day-night transition in a bacterial circadian clock
  9. Interconversion between two unrelated protein folds in the lymphotactin native state
  10. Extant fold-switching proteins are widespread

Their papers