W. Noid

Molecular Biology · 2007–2013

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 88 citations into it; #2,990 of 17,773 by trust here, #8,280 by citations
• Materials Chemistry — 61 citations into it; #1,761 of 11,513 by trust here, #7,558 by citations
• Atomic and Molecular Physics, and Optics — 33 citations into it
• Physical and Theoretical Chemistry — 9 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Biomedical Engineering — 6 citations into it
• Condensed Matter Physics — 5 citations into it

Whom W. Noid trusts overall

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

1. Siewert-Jan Marrink
2. Gregory A. Voth
3. S. Miyazawa
4. Florian Müller-Plathe
5. Valentina Tozzini
6. Ard A. Louis
7. Manfred J. Sippl
8. Paul D. Thomas
9. Jeffrey Skolnick
10. David C. Jones

Who trusts W. Noid overall

1. ST John
2. Brooke E. Husic
3. Frank No'e
4. Jerelle A. Joseph
5. Jiang Wang
6. Gábor Csányi
7. Nicholas E. Charron
8. Zichao Long
9. Helgi I. Ingólfsson
10. Cecilia Clementi

Papers from W. Noid's perspective

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

1. A method to identify protein sequences that fold into a known three-dimensional structure.
2. Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation
3. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
4. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
5. The Protein Data Bank: a computer-based archival file for macromolecular structures.
6. Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
7. A new approach to protein fold recognition
8. The Protein Data Bank.
9. VMD: visual molecular dynamics.
10. Comparison of simple potential functions for simulating liquid water

Their papers

• Perspective: Coarse-grained models for biomolecular systems. (2013) — 864 citations
• The multiscale coarse-graining method. I. A rigorous bridge between atomistic and coarse-grained models. (2008) — 791 citations
• Multiscale modeling of biomolecular systems: in serial and in parallel. (2007) — 423 citations