W. Patrick Walters
Computational Theory and Mathematics · 1998–2019
A researcher in the Science corpus: 7 papers; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 77 citations into it; #6,123 of 12,182 by trust here, #898 by citations
- Computational Chemistry & Drug Discovery — 39 citations into it; #285 of 425 by trust here, #178 by citations
- Organic Chemistry — 16 citations into it
- Spectroscopy — 14 citations into it; #862 of 1,674 by trust here, #1,278 by citations
- Pharmacology — 11 citations into it
Whom W. Patrick Walters trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tudor I. Oprea
- Gisbert Schneider
- Christopher A. Lipinski
- Hans-Joachim Böhm
- David Weininger
- W. L. Jorgensen
- M. Hann
- Nikolaus Hansen
- Mark A. Murcko
- David J. Diller
Who trusts W. Patrick Walters overall
- K. Bleicher
- Shengyou Huang
- Xuanyu Meng
- Hans-Joachim Böhm
- W. L. Jorgensen
- Paul D. Lyne
- Anthony Nicholls
- Gisbert Schneider
- N. S. Pagadala
- Marcy J. Balunas
Papers from W. Patrick Walters's perspective
Ordered by how strongly the researchers W. Patrick Walters trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Prototypical Networks for Few-shot Learning
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- On Calibration of Modern Neural Networks
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Learning how to learn
- Ultra-large library docking for discovering new chemotypes (Nature)
Their papers
- D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies (2019) — 113 citations
- A guide to drug discovery: Designing screens: how to make your hits a hit (2003) — 368 citations
- A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevance (2004) — 444 citations
- Rethinking drug design in the artificial intelligence era (2019) — 681 citations
- Prediction of 'drug-likeness'. (2002) — 395 citations
- Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins. (1999)
- Virtual screening : an overview (1998)