Manfred Hendlich
Computational Chemistry & Drug Discovery · 2000–2003
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computational Chemistry & Drug Discovery — 9 citations into it; #140 of 425 by trust here, #148 by citations
Whom Manfred Hendlich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hans-Joachim Böhm
- David Weininger
- Roger A. Sayle
- Holger Gohlke
- Christopher W. Murray
- Matthias Rarey
- Gerhard Klebe
Who trusts Manfred Hendlich overall
- Gerhard Klebe
- Marcel L. Verdonk
- Stefan Schmitt
- Wijnand T. M. Mooij
- Zhong-Ru Xie
- Tatu Pantsar
- Jinn-Moon Yang
- Daniel Kuhn
- Sérgio Filipe Sousa
- Jason C. Cole
Papers from Manfred Hendlich's perspective
Ordered by how strongly the researchers Manfred Hendlich trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank: a computer-based archival file for macromolecular structures.
- A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
- A new approach to protein fold recognition
- A method to identify protein sequences that fold into a known three-dimensional structure.
- Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
- \the Protein Data Bank: a Computer-based Archival Le for Macromolecular Structures,"
- SMoG: de Novo Design Method Based on Simple, Fast, and Accurate Free Energy Estimates. 1. Methodology and Supporting Evidence
- Energy functions that discriminate X-ray and near native folds from well-constructed decoys.
- The computer program LUDI: A new method for the de novo design of enzyme inhibitors
- Virtual screening : an overview
Their papers
- Relibase: design and development of a database for comprehensive analysis of protein-ligand interactions. (2003) — 312 citations
- Knowledge-based scoring function to predict protein-ligand interactions. (2000) — 1,037 citations