Markus A. Lill
Computational Theory and Mathematics · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 28 citations into it; #2,411 of 12,182 by trust here, #5,239 by citations
- Molecular Biology — 28 citations into it; #2,516 of 17,773 by trust here, #12,465 by citations
- Materials Chemistry — 12 citations into it; #4,072 of 11,513 by trust here, #10,540 by citations
Whom Markus A. Lill trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Helen M. Berman
- Daniel Seeliger
- Alexey V. Onufriev
- David A. Case
- Garrett M. Morris
- Rajarshi Guha
- B. L. de Groot
- Donald Bashford
- Ruth Huey
- Thomas E. Cheatham III
Who trusts Markus A. Lill overall
- Tianyun Liu
- Shuguang Yuan
- L. Ferreira
- Luca Pinzi
- Russ B. Altman
- H. C. Stephen Chan
- Gregory Sliwoski
- S. J. Macalino
- Ricardo N Dos Santos
- Zhenquan Hu
Papers from Markus A. Lill's perspective
Ordered by how strongly the researchers Markus A. Lill trusts endorse each paper. Same corpus, a different order for every researcher.
- The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- The Blue Obelisk—Interoperability in Chemical Informatics
- The Amber biomolecular simulation programs
- Exploring protein native states and large‐scale conformational changes with a modified generalized born model (Proteins: Structure, Function, and Bioinformatics)
- Solvated Interaction Energy (SIE) for Scoring Protein-Ligand Binding Affinities, 1. Exploring the Parameter Space (Journal of Chemical Information and Modeling)
- Ligand docking and binding site analysis with PyMOL and Autodock/Vina
- Protein data bank
- A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
- The Protein Data Bank.
Their papers
- Integrating structure-based and ligand-based approaches for computational drug design. (2011) — 150 citations
- Computer-aided drug design platform using PyMOL (2011) — 582 citations
- Induced fit docking, and the use of QM/MM methods in docking. (2013) — 47 citations