Steffen Lindert

Molecular Biology · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 406 citations into it; #16,335 of 17,773 by trust here, #9,600 by citations
• Materials Chemistry — 181 citations into it
• Computational Theory and Mathematics — 124 citations into it; #11,815 of 12,182 by trust here, #5,724 by citations
• Computational Chemistry & Drug Discovery — 56 citations into it
• Organic Chemistry — 27 citations into it
• Atomic and Molecular Physics, and Optics — 21 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Steffen Lindert trusts overall

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

1. Alessandro Laio
2. Woody Sherman
3. James Andrew McCammon
4. K. Simons
5. R. Amaro
6. Corey Hardin
7. David E. Shaw
8. W. L. Jorgensen
9. David Baker
10. K. Lindorff‐Larsen

Who trusts Steffen Lindert overall

1. Gregory Sliwoski

Papers from Steffen Lindert's perspective

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

1. How Fast-Folding Proteins Fold (Science)
2. The Protein Data Bank
3. Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
4. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
5. Multidimensional replica-exchange method for free-energy calculations
6. Accelerating molecular modeling applications with graphics processors (Journal of Computational Chemistry)
7. Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
8. Anton, a special-purpose machine for molecular dynamics simulation
9. A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
10. Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules. (Journal of Chemical Physics)

Their papers

• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Accounting for receptor flexibility and enhanced sampling methods in computer aided drug design (2013) — 116 citations
• AutoGrow 3.0: an improved algorithm for chemically tractable, semi-automated protein inhibitor design. (2013) — 54 citations
• Computational methods in drug discovery (2016) — 410 citations
• Utility of Covalent Labeling Mass Spectrometry Data in Protein Structure Prediction with Rosetta (2019) — 29 citations
• Rosetta Protein Structure Prediction from Hydroxyl Radical Protein Footprinting Mass Spectrometry Data (2018) — 54 citations