Yi Li

Molecular Biology · with Ai · 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

Whom Yi Li trusts overall

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

  1. Shengyou Huang
  2. Hans-Joachim Böhm
  3. Shimon Weiss
  4. David D. Boehr
  5. Michael K. Gilson
  6. Alessandro Laio
  7. Samuel Genheden
  8. Xiaoqin Zou
  9. Rong Chen

Papers from Yi Li's perspective

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

  1. DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
  2. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
  3. Protein–ligand docking: Current status and future challenges
  4. An iterative knowledge‐based scoring function to predict protein–ligand interactions: II. Validation of the scoring function
  5. 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)
  6. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  7. ZDOCK: An initial‐stage protein‐docking algorithm
  8. Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. (Accounts of Chemical Research)
  9. The computer program LUDI: A new method for the de novo design of enzyme inhibitors
  10. Development and validation of a genetic algorithm for flexible docking.

Their papers