Sílvia Delgado Olabarriaga
Computational Theory and Mathematics · 2001–2016
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 9 citations into it
- Molecular Biology — 8 citations into it
- Computational Chemistry & Drug Discovery — 7 citations into it
Whom Sílvia Delgado Olabarriaga trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sílvia Delgado Olabarriaga overall
- Kevin McGuinness
- Neeraj Sharma
- N. Gordillo
- L. Aggarwal
- Noel Edward O'Connor
- Eduard Montseny
- Habib Zaidi
- Pilar Sobrevilla
Papers from Sílvia Delgado Olabarriaga's perspective
Ordered by how strongly the researchers Sílvia Delgado Olabarriaga trusts endorse each paper. Same corpus, a different order for every researcher.
- Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- BOINC: a system for public-resource computing and storage (Fifth IEEE/ACM International Workshop on Grid Computing)
- HMDB: the Human Metabolome Database (Nucleic Acids Res.)
- Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
- DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
- Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
- Hit Identification and Optimization in Virtual Screening: Practical Recommendations Based Upon a Critical Literature Analysis
- ZINC: A Free Tool to Discover Chemistry for Biology
Their papers
- 1001 Ways to run AutoDock Vina for virtual screening (2016) — 180 citations
- Interaction in the segmentation of medical images: A survey (2001) — 441 citations