Matthew Holcomb

Computational Theory and Mathematics · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Holcomb trusts overall

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

  1. Ruth Huey
  2. Garrett M. Morris
  3. Renxiao Wang
  4. Stefano Forli
  5. Noel M. O'Boyle
  6. Peter J. A. Cock
  7. Michel F. Sanner

Papers from Matthew Holcomb's perspective

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

  1. Open Babel: An open chemical toolbox
  2. A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)
  3. Highly accurate protein structure prediction with AlphaFold
  4. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
  5. The PDBbind database: methodologies and updates.
  6. Biopython: freely available Python tools for computational molecular biology and bioinformatics
  7. Multi-State Modeling of G-protein Coupled Receptors at Experimental Accuracy
  8. Predicting the Accuracy of Protein–Ligand Docking on Homology Models
  9. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
  10. Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review. (European journal of medicinal chemistry)

Their papers