William W. Chen
Molecular Biology · 2006–2009
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 — 24 citations into it
- Oncology — 9 citations into it
- Materials Chemistry — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom William W. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Zhang
- Y. Yarden
- Vladislav Vyshemirsky
- A. Citri
- Jeffrey Skolnick
- Eugene I. Shakhnovich
- Birgit Schoeberl
- S. Sasagawa
- Vincent Danos
- Hongyi Zhou
Who trusts William W. Chen overall
Papers from William W. Chen's perspective
Ordered by how strongly the researchers William W. Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Untangling the ErbB signalling network (Nature reviews. Molecular cell biology)
- CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
- Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
- MaxSub: an automated measure for the assessment of protein structure prediction quality
- Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors (Nature Biotechnology)
- The protein structure prediction problem could be solved using the current PDB library. (Proceedings of the National Academy of Sciences of the United States of America)
- SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for comparative protein modeling
- Phosphotyrosine interactome of the ErbB-receptor kinase family (Molecular Systems Biology)
- PISCES: a protein sequence culling server
- Algorithms for Clustering Data
Their papers
- All-atom ab initio folding of a diverse set of proteins. (2006) — 94 citations
- Input–output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data (2009) — 437 citations