N. Moorthy
Molecular Biology · 2013
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 52 citations into it
- Computational Theory and Mathematics — 47 citations into it
Whom N. Moorthy trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaoqin Zou (in Molecular Biology)
- Shengyou Huang (in Molecular Biology)
Papers from N. Moorthy's perspective
Ordered by how strongly the researchers N. Moorthy trusts endorse each paper. Same corpus, a different order for every researcher.
- DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
- EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases
- Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
- A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
- Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
- Computational drug design accommodating receptor flexibility: the relaxed complex scheme. (Journal of the American Chemical Society)
- Consensus scoring for ligand/protein interactions. (Journal of Molecular Graphics and Modelling)
- Protein–ligand docking: Current status and future challenges
- Knowledge-based scoring function to predict protein-ligand interactions.
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
Their papers
- Protein-ligand docking in the new millennium--a retrospective of 10 years in the field. (2013) — 236 citations