Shi-Meng Ai
Molecular Biology · 2016
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 30 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Computational Chemistry & Drug Discovery — 11 citations into it
Whom Shi-Meng Ai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shi-Meng Ai's perspective
Ordered by how strongly the researchers Shi-Meng Ai 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
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
- Protein–ligand docking: Current status and future challenges
- An iterative knowledge‐based scoring function to predict protein–ligand interactions: II. Validation of the scoring function
- Use of MM-PBSA in reproducing the binding free energies to HIV-1 RT of TIBO derivatives and predicting the binding mode to HIV-1 RT of efavirenz by docking and MM-PBSA. (Journal of the American Chemical Society)
- Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
- ZDOCK: An initial‐stage protein‐docking algorithm
- Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. (Accounts of Chemical Research)
- The computer program LUDI: A new method for the de novo design of enzyme inhibitors
- Development and validation of a genetic algorithm for flexible docking.
Their papers
- Insights into Protein–Ligand Interactions: Mechanisms, Models, and Methods (2016) — 1,417 citations