Albert Perez-Riba

Molecular Biology · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 70 citations into it; #10,396 of 17,773 by trust here, #9,851 by citations
• Computational Biology & Bioinformatics — 30 citations into it
• Materials Chemistry — 26 citations into it; #6,599 of 11,513 by trust here, #11,403 by citations
• Spectroscopy — 11 citations into it; #944 of 1,674 by trust here, #1,640 by citations

Whom Albert Perez-Riba trusts overall

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

1. David C. Jones
2. The Uniprot Consortium

Who trusts Albert Perez-Riba overall

1. Alexey Strokach
2. David Becerra
3. Carles Corbi-Verge

Papers from Albert Perez-Riba's perspective

Ordered by how strongly the researchers Albert Perez-Riba 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. Protein secondary structure prediction based on position-specific scoring matrices.
4. Improved protein structure prediction using potentials from deep learning
5. The Protein Data Bank
6. Alignment of protein sequences by their profiles
7. Ab Initio Protein Structure Assembly Using Continuous Structure Fragments and Optimized Knowledge-based Force Field
8. Dynamic Graph CNN for Learning on Point Clouds
9. CATH: an expanded resource to predict protein function through structure and sequence
10. UniProt: a hub for protein information

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
• A method for rapid high-throughput biophysical analysis of proteins (2017) — 19 citations