Daniel P. Russo

Computational Theory and Mathematics · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 52 citations into it; #11,903 of 12,182 by trust here, #4,531 by citations
• Molecular Biology — 40 citations into it; #16,843 of 17,773 by trust here, #14,833 by citations
• Materials Chemistry — 23 citations into it; #10,757 of 11,513 by trust here, #10,245 by citations
• Computational Chemistry & Drug Discovery — 18 citations into it
• Artificial Intelligence — 13 citations into it
• Spectroscopy — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Daniel P. Russo trusts overall

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

1. John B. O. Mitchell
2. R. Caruana
3. Tudor I. Oprea

Who trusts Daniel P. Russo overall

1. Sameer Quazi

Papers from Daniel P. Russo's perspective

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

1. Deep Learning
2. Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules
3. LIBSVM: A library for support vector machines
4. Applications of Deep Learning in Biomedicine.
5. Deep Learning in Drug Discovery
6. Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
7. Molecular graph convolutions: moving beyond fingerprints
8. DeepTox: Toxicity Prediction using Deep Learning
9. Classification of kinase inhibitors using a Bayesian model.
10. Integrating virtual screening in lead discovery.

Their papers

• Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets. (2017) — 303 citations
• Exploiting Machine Learning for End-To-End Drug Discovery and Development (2019) — 478 citations