John A. Capra
Molecular Biology · 2007–2020
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 92 citations into it; #2,558 of 17,773 by trust here, #6,685 by citations
- Materials Chemistry — 35 citations into it
- Computational Biology & Bioinformatics — 15 citations into it
- Spectroscopy — 6 citations into it
Whom John A. Capra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Henikoff
- Jorja G. Henikoff
- Itay Mayrose
- Golan Yona
- Reinhard Schneider
- Craig T. Porter
- Christopher Sander
- Jesse Davis
- Bingding Huang
- Helen M. Berman
Who trusts John A. Capra overall
- Jianyi Yang
- Ambrish Roy
- Yang Zhang
- A. Kumagai
- Olivier Rivoire
- Edison Ong
- Tianyun Liu
- Daniel Melamed
- Yoshinori Fukasawa
- Mark N. Wass
Papers from John A. Capra's perspective
Ordered by how strongly the researchers John A. Capra trusts endorse each paper. Same corpus, a different order for every researcher.
- Amino acid substitution matrices from protein blocks.
- Basic local alignment search tool.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Position-based sequence weights.
- Database of homology‐derived protein structures and the structural meaning of sequence alignment
- Information Theory: 1948-1998 - Guest Editorial
- The Protein Data Bank.
- The SWISS-PROT protein sequence data bank and its supplement TrEMBL
- The Protein Data Bank
- A family of evolution-entropy hybrid methods for ranking protein residues by importance. (Journal of Molecular Biology)
Their papers
- Predicting functionally important residues from sequence conservation (2007) — 698 citations
- Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure (2009) — 411 citations
- Dynamic and Coordinated Epigenetic Regulation of Developmental Transitions in the Cardiac Lineage (2012) — 605 citations
- Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks (2020) — 130 citations