Glaucius Oliva

Computational Chemistry & Drug Discovery · 2008–2015

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 166 citations into it; #336 of 425 by trust here, #326 by citations
• Computational Theory and Mathematics — 121 citations into it; #10,648 of 12,182 by trust here, #3,924 by citations
• Molecular Biology — 119 citations into it
• Materials Chemistry — 33 citations into it
• Organic Chemistry — 33 citations into it; #1,050 of 1,495 by trust here, #1,002 by citations
• Evaluation & Benchmarks — 15 citations into it
• Radiology, Nuclear Medicine and Imaging — 14 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Glaucius Oliva 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 Glaucius Oliva overall

1. Luca Pinzi

Papers from Glaucius Oliva's perspective

Ordered by how strongly the researchers Glaucius Oliva 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
• Virtual screening and its integration with modern drug design technologies. (2008) — 182 citations
• Quantitative structure-activity relationships for a series of inhibitors of cruzain from Trypanosoma cruzi: molecular modeling, CoMFA and CoMSIA studies. (2009) — 50 citations