Tatu Pantsar

Molecular Biology · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 87 citations into it
• Computational Theory and Mathematics — 36 citations into it
• Materials Chemistry — 23 citations into it
• Computational Chemistry & Drug Discovery — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Organic Chemistry — 10 citations into it

Whom Tatu Pantsar trusts overall

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

1. Ajay N. Jain
2. Robert Abel
3. Holger Gohlke
4. Brian K. Shoichet
5. Matthias Rarey
6. Marcel L. Verdonk
7. Tiejun Cheng
8. Robert B. Best
9. Richard A. Friesner
10. G. V. Zundert

Who trusts Tatu Pantsar overall

1. Luca Pinzi

Papers from Tatu Pantsar's perspective

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

1. Advancing Drug Discovery through Enhanced Free Energy Calculations. (Accounts of Chemical Research)
2. Improved protein–ligand docking using GOLD
3. Knowledge-based scoring function to predict protein-ligand interactions.
4. Molecular recognition and docking algorithms.
5. A fast flexible docking method using an incremental construction algorithm.
6. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
7. A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculations (Journal of Computational Chemistry)
8. A critical assessment of docking programs and scoring functions.
9. Molecular docking using shape descriptors
10. Comparative Assessment of Scoring Functions on a Diverse Test Set (Journal of Chemical Information and Modeling)

Their papers

• Binding Affinity via Docking: Fact and Fiction (2018) — 632 citations
• Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development (2020) — 530 citations