Chun-chao Lo

Molecular Biology · 2019

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

Subfields

• Molecular Biology — 39 citations into it
• Materials Chemistry — 19 citations into it

Whom Chun-chao Lo trusts

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

1. I. Samish (in Molecular Biology)

Papers from Chun-chao Lo's perspective

Ordered by how strongly the researchers Chun-chao Lo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Learning
3. Native protein sequences are close to optimal for their structures.
4. De Novo Computational Design of Retro-Aldol Enzymes
5. De novo design of the hydrophobic cores of proteins
6. A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.
7. The Stanford CoreNLP Natural Language Processing Toolkit
8. Molecular technology: Designing proteins and peptides
9. Computational Thermostabilization of an Enzyme
10. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction

Their papers

• ProDCoNN: Protein design using a convolutional neural network (2019) — 71 citations