L. Ferreira

Computational Chemistry & Drug Discovery · with Andricopulo · 2015

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 165 citations into it; #346 of 425 by trust here, #328 by citations
• Computational Theory and Mathematics — 116 citations into it; #10,738 of 12,182 by trust here, #5,724 by citations
• Molecular Biology — 113 citations into it
• Organic Chemistry — 34 citations into it; #1,068 of 1,495 by trust here, #1,023 by citations
• Materials Chemistry — 31 citations into it
• Radiology, Nuclear Medicine and Imaging — 14 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom L. Ferreira 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. Sérgio Filipe Sousa
10. Gregory L. Wilson

Who trusts L. Ferreira overall

1. Luca Pinzi
2. Masha Karelina
3. Maria Batool
4. Weihua Hu
5. Giulio Rastelli
6. Zeynep Kurkcuoglu
7. Joseph J. Noh
8. Bilal Ahmad

Papers from L. Ferreira's perspective

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

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

Their papers

• Molecular Docking and Structure-Based Drug Design Strategies (2015) — 2,080 citations