E. A. Del Rio-Chanona

Computational Theory and Mathematics · 2021

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

Subfields

• Computational Theory and Mathematics — 19 citations into it; #11,122 of 12,182 by trust here, #7,501 by citations
• Molecular Biology — 19 citations into it; #14,893 of 17,773 by trust here, #14,833 by citations
• Computational Chemistry & Drug Discovery — 7 citations into it; #362 of 425 by trust here, #364 by citations
• Computational Biology & Bioinformatics — 5 citations into it

Whom E. A. Del Rio-Chanona trusts overall

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

1. Christopher M. Dobson
2. Pedro J. Ballester
3. Radoslav Krivák

Who trusts E. A. Del Rio-Chanona overall

1. Hannes Stärk

Papers from E. A. Del Rio-Chanona's perspective

Ordered by how strongly the researchers E. A. Del Rio-Chanona trusts endorse each paper. Same corpus, a different order for every researcher.

1. DeepSite: protein‐binding site predictor using 3D‐convolutional neural networks
2. A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking
3. P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
4. Protein-Ligand Scoring with Convolutional Neural Networks
5. Ultra-large library docking for discovering new chemotypes (Nature)
6. Cryo-EM in drug discovery: achievements, limitations and prospects
7. An open-source drug discovery platform enables ultra-large virtual screens (Nature)
8. Chemical space and biology (Nature)
9. Development and evaluation of a deep learning model for protein–ligand binding affinity prediction (Bioinform.)
10. Protein data bank

Their papers

• A geometric deep learning approach to predict binding conformations of bioactive molecules (2021) — 180 citations