Chen Keasar

Molecular Biology · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 34 citations into it
• Materials Chemistry — 22 citations into it

Whom Chen Keasar trusts overall

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

1. Liam J. McGuffin
2. Andriy Kryshtafovych
3. Daniel B. Roche

Papers from Chen Keasar's perspective

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

1. Can correct protein models be identified?
2. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
3. CAD‐score: A new contact area difference‐based function for evaluation of protein structural models
4. Assessment of the assessment: Evaluation of the model quality estimates in CASP10
5. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
6. Evaluation of model quality predictions in CASP9
7. Assessment of model accuracy estimations in CASP12
8. The ModFOLD4 server for the quality assessment of 3D protein models
9. ModFOLD6: an accurate web server for the global and local quality estimation of 3D protein models
10. Improved model quality assessment using ProQ2

Their papers

• Methods for estimation of model accuracy in CASP12 (2017) — 32 citations
• High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures (2018)