MetaPocket: A Meta Approach to Improve Protein Ligand Binding Site Prediction

By Bingding Huang. Omics, 2009

381 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/931199a12855b653d825ba85b03e60ff11b189e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Daniele Toti
2. Fabio Polticelli
3. Gabriele Macari

In Molecular Biology

1. Daniele Toti
2. Fabio Polticelli
3. Gabriele Macari

Citations in the corpus

• Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies (2019, methodology): “Various state-of-the-art tools belong to this category, such as metaPocket [66], ProFunc [67] and COACH”