John L. Klepeis

Molecular Biology · 2003–2017

A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 54 citations into it; #2,754 of 17,773 by trust here, #3,533 by citations
• Computational Theory and Mathematics — 13 citations into it
• Physical and Theoretical Chemistry — 9 citations into it
• Computational Biology & Bioinformatics — 6 citations into it

Whom John L. Klepeis trusts overall

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

1. Christodoulos A. Floudas
2. Liisa Holm
3. Liam J. McGuffin
4. Christopher Sander
5. Andrej Sali
6. David C. Jones
7. Kevin Bryson
8. Burkhard Rost
9. David Baker
10. David T. Jones

Who trusts John L. Klepeis overall

1. Zhiyong Wang
2. Marcin J. Skwark
3. Jianzhu Ma
4. Jinbo Xu
5. Ken A. Dill
6. Sheng Wang
7. Daniele Raimondi
8. Dong Xu
9. S. Ozkan
10. Stefano Piana

Papers from John L. Klepeis's perspective

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

1. Protein structure comparison by alignment of distance matrices.
2. Protein Structure Prediction and Structural Genomics
3. A modified definition of Sov, a segment‐based measure for protein secondary structure prediction assessment
4. Comparative protein modelling by satisfaction of spatial restraints.
5. Combining evolutionary information and neural networks to predict protein secondary structure
6. Evaluating conformational free energies: The colony energy and its application to the problem of loop prediction
7. The PSIPRED protein structure prediction server
8. AND T
9. Optimization by Simulated Annealing
10. Scalable molecular dynamics with NAMD

Their papers

• ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence. (2003) — 134 citations
• Improved side-chain torsion potentials for the Amber ff99SB protein force field (2010) — 5,790 citations
• Anton, a special-purpose machine for molecular dynamics simulation (2008) — 583 citations
• Assessing the accuracy of physical models used in protein-folding simulations: quantitative evidence from long molecular dynamics simulations. (2014) — 449 citations
• Anton, a special-purpose machine for molecular dynamics simulation (2007) — 489 citations
• Long-timescale molecular dynamics simulations of protein structure and function. (2009) — 744 citations
• Improving the accuracy of Møller-Plesset perturbation theory with neural networks. (2017) — 102 citations
• Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters (2006) — 3,693 citations