S. Saikia

Computational Theory and Mathematics · with Bordoloi · 2019

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

Whom S. Saikia trusts overall

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

  1. Shengyou Huang
  2. Gisbert Schneider
  3. Paul D. Thomas
  4. David S. Wishart
  5. W. L. Jorgensen

Papers from S. Saikia's perspective

Ordered by how strongly the researchers S. Saikia 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. Development and validation of a genetic algorithm for flexible docking.
  3. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
  4. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
  5. Protein data bank
  6. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  7. A general and fast scoring function for protein-ligand interactions: a simplified potential approach.
  8. Comparative evaluation of 11 scoring functions for molecular docking.
  9. Improved protein–ligand docking using GOLD
  10. Protein–ligand docking: Current status and future challenges

Their papers