Predicting molecular interactions in silico: II. Protein-protein and protein-drug docking.
By Dina Schneidman-Duhovny, Ruth Nussinov, Haim J. Wolfson. 2003
99 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
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
- Shengyou Huang
- Xiaoqin Zou
- Haim J. Wolfson
- Nelly Andrusier
- I. Kapetanovic
- Ruth Nussinov
- Efrat Mashiach
- Dina Schneidman-Duhovny
In Molecular Biology
- Shengyou Huang
- Xiaoqin Zou
- Haim J. Wolfson
- Ruth Nussinov
- Nelly Andrusier
- I. Kapetanovic
- Efrat Mashiach
- Dina Schneidman-Duhovny
Citations in the corpus
- Principles of Flexible Protein-Protein Docking (2008, background): “76–80 This approach can only deal with side chain flexibility and small scale backbone movements.”
- FireDock: a web server for fast interaction refinement in molecular docking (2008, background): “First, soft rigid docking is performed (8–11), allowing a certain amount of steric clashes.”
- Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach. (2008, methodology): “…CADDD and the following commonly used computational approaches will be discussed: ligand-based design (e.g. pharmacophore)[16], structure (target)-based design (e.g. docking)[17], and quantitative structure-activity/property relationships (QSAR/QSPR) (e.g. computational predictive toxicology)[18].”
- An iterative knowledge‐based scoring function for protein–protein recognition (2008, background): “…current protein docking algorithms can be classified into three broad categories: global search, local shape matching, and randomized search.4 The first type of search algorithms perform a global search of all possible binding configurations, either in the real space (e.g., SOFTDOCK and…”