N. S. Pagadala

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 37 citations into it
• Computational Theory and Mathematics — 29 citations into it
• Materials Chemistry — 16 citations into it
• Computational Chemistry & Drug Discovery — 13 citations into it
• Organic Chemistry — 7 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom N. S. Pagadala trusts overall

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

1. D. Ritchie
2. S. Parasuraman
3. Ajay N. Jain
4. Dina Schneidman-Duhovny
5. Brian G. Pierce
6. Samuel L. DeLuca
7. Christopher R. Corbeil
8. Matthias Rarey
9. Dariusz M Plewczynski
10. Arthur J. Olson

Papers from N. S. Pagadala's perspective

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

1. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
2. Protein data bank
3. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
4. PatchDock and SymmDock: servers for rigid and symmetric docking
5. Protein docking using spherical polar Fourier correlations (Proteins: Structure, Function, and Bioinformatics)
6. ZDOCK: An initial‐stage protein‐docking algorithm
7. BiGGER: A new (soft) docking algorithm for predicting protein interactions (Proteins: Structure, Function, and Bioinformatics)
8. Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations. (Journal of Medicinal Chemistry)
9. Evaluation of docking performance: comparative data on docking algorithms. (Journal of Medicinal Chemistry)
10. SwarmDock: a server for flexible protein-protein docking

Their papers

• Software for molecular docking: a review (2017) — 1,264 citations