Mazen Ahmad

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; #11,123 of 12,182 by trust here, #7,501 by citations
• Molecular Biology — 19 citations into it; #14,895 of 17,773 by trust here, #14,833 by citations
• Computational Chemistry & Drug Discovery — 7 citations into it; #364 of 425 by trust here, #364 by citations
• Computational Biology & Bioinformatics — 5 citations into it

Whom Mazen Ahmad 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 Mazen Ahmad overall

1. Hannes Stärk
2. Yuanqi Du
3. Gabriele Corso

Papers from Mazen Ahmad's perspective

Ordered by how strongly the researchers Mazen Ahmad 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. Ultra-large library docking for discovering new chemotypes (Nature)
5. Protein-Ligand Scoring with Convolutional Neural Networks
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