Ricardo N Dos Santos

Computational Chemistry & Drug Discovery · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 169 citations into it; #335 of 425 by trust here, #312 by citations
• Computational Theory and Mathematics — 125 citations into it; #10,663 of 12,182 by trust here, #5,046 by citations
• Molecular Biology — 121 citations into it
• Organic Chemistry — 39 citations into it; #1,069 of 1,495 by trust here, #1,023 by citations
• Materials Chemistry — 32 citations into it
• Radiology, Nuclear Medicine and Imaging — 15 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Ricardo N Dos Santos trusts overall

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

1. Ajay N. Jain
2. Carlos J. Camacho
3. Shengyou Huang
4. Mark McGann
5. Paul D. Lyne
6. Freddie R. Salsbury Jr.
7. Brian K. Shoichet
8. Pablo Englebienne
9. Christopher W. Murray
10. Sérgio Filipe Sousa

Who trusts Ricardo N Dos Santos overall

1. Luca Pinzi
2. Masha Karelina
3. Maria Batool

Papers from Ricardo N Dos Santos's perspective

Ordered by how strongly the researchers Ricardo N Dos Santos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Development and validation of a genetic algorithm for flexible docking.
2. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
3. Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.
4. Improved protein–ligand docking using GOLD
5. Protein data bank
6. Protein–ligand docking: Current status and future challenges
7. Docking and scoring in virtual screening for drug discovery: methods and applications
8. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
9. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
10. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Their papers

• Molecular Docking and Structure-Based Drug Design Strategies (2015) — 2,080 citations
• Development of a natural products database from the biodiversity of Brazil. (2013) — 153 citations