David Becerra

Molecular Biology · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 71 citations into it
• Computational Biology & Bioinformatics — 30 citations into it
• Materials Chemistry — 28 citations into it
• Spectroscopy — 13 citations into it

Whom David Becerra trusts overall

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

1. David C. Jones
2. The Uniprot Consortium
3. Mark G. F. Sun
4. Dong Xu
5. Albert Perez-Riba
6. Marc A. Martí-Renom
7. Rasmus Berg Palm
8. Xinqiang Ding
9. Alessandro Dal Palù
10. Hahnbeom Park

Who trusts David Becerra overall

1. Zhangyang Gao

Papers from David Becerra's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Automatic differentiation in PyTorch
3. Improved protein structure prediction using potentials from deep learning
4. Protein secondary structure prediction based on position-specific scoring matrices.
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. The Protein Data Bank
7. ImageNet classification with deep convolutional neural networks
8. Dynamic Graph CNN for Learning on Point Clouds
9. Alignment of protein sequences by their profiles
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Fast and Flexible Protein Design Using Deep Graph Neural Networks. (2020) — 242 citations
• Fast and flexible design of novel proteins using graph neural networks (2019) — 17 citations