Jens Meiler
Molecular Biology · 2001–2022
A researcher in the Science corpus: 32 papers; trusts 140 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 808 citations into it; #1,810 of 17,773 by trust here, #887 by citations
- Materials Chemistry — 376 citations into it; #2,565 of 11,513 by trust here, #2,928 by citations
- Computational Theory and Mathematics — 210 citations into it; #5,577 of 12,182 by trust here, #1,700 by citations
- Computational Biology & Bioinformatics — 132 citations into it; #393 of 660 by trust here, #166 by citations
- Computational Chemistry & Drug Discovery — 117 citations into it; #188 of 425 by trust here, #215 by citations
- Radiology, Nuclear Medicine and Imaging — 106 citations into it; #1,549 of 3,265 by trust here, #1,861 by citations
- Spectroscopy — 88 citations into it
- Organic Chemistry — 57 citations into it; #472 of 1,495 by trust here, #661 by citations
Whom Jens Meiler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker
- Carol A. Rohl
- Roland L. Dunbrack
- Tanja Kortemme
- Brian Kuhlman
- Jeffrey J. Gray
- K. Simons
- Vladimir Naumovich Vapnik
- David C. Jones
- Colin A. Smith
Who trusts Jens Meiler overall
- Andrew Leaver-Fay
- Veronica Salmaso
- Anastasiia V. Sadybekov
- Georg Kuenze
- Gregory Sliwoski
- David Baker
- James M. Thompson
- Stefano Moro
- Julia Koehler Leman
- Matthew Spencer
Papers from Jens Meiler's perspective
Ordered by how strongly the researchers Jens Meiler trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Native protein sequences are close to optimal for their structures.
- Basic local alignment search tool.
- Alternate states of proteins revealed by detailed energy landscape mapping
- A simple physical model for binding energy hot spots in protein–protein complexes
- Rosetta in CASP4: Progress in ab initio protein structure prediction (Proteins: Structure, Function, and Bioinformatics)
- Highly accurate protein structure prediction with AlphaFold
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
Their papers
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules (2011) — 1,780 citations
- RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite (2011) — 614 citations
- Protocols for Molecular Modeling with Rosetta3 and RosettaScripts (2016) — 176 citations
- Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You (2010) — 404 citations
- Rapid protein fold determination using unassigned NMR data (2003) — 116 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop (2015) — 175 citations
- Generation and evaluation of dimension-reduced amino acid parameter representations by artificial neural networks (2001) — 259 citations
- Solvent accessible surface area approximations for rapid and accurate protein structure prediction (2009) — 432 citations
- Rosetta predictions in CASP5: Successes, failures, and prospects for complete automation (2003) — 188 citations
- New algorithms and an in silico benchmark for computational enzyme design (2006) — 350 citations
- Sampling alternative conformational states of transporters and receptors with AlphaFold2 (2022) — 409 citations
- Computational Methods in Drug Discovery (2014) — 1,984 citations
- Improving Loop Modeling of the Antibody Complementarity-Determining Region 3 Using Knowledge-Based Restraints (2016) — 24 citations
- Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs (2020) — 37 citations
- Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences (2015) — 39 citations
- Fully Flexible Docking of Medium Sized Ligand Libraries with RosettaLigand (2015) — 136 citations
- Structural basis of ligand binding modes at the neuropeptide Y Y1 receptor (2018) — 127 citations
- Assessment and Challenges of Ligand Docking into Comparative Models of G-Protein Coupled Receptors (2013) — 39 citations
- Documentation of an Imperative To Improve Methods for Predicting Membrane Protein Stability (2016) — 52 citations