Visualization Laboratory Wiki
Docs» highlights:2025:itercr

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
highlights:2025:itercr [2025/10/23 10:44] – Didier Barradas Bautistahighlights:2025:itercr [2025/10/23 10:48] (current) – Didier Barradas Bautista
Line 32: Line 32:
  
 ===== Research Breakthrough ===== ===== Research Breakthrough =====
-<WRAP hi>+<WRAP>
 Protein–protein docking generates thousands of possible interaction models—but only a few are correct. In our latest collaborative work, we introduce Iter-CONSRANK, an iterative scoring algorithm that filters out incorrect models and enriches the ensemble with correct ones. Protein–protein docking generates thousands of possible interaction models—but only a few are correct. In our latest collaborative work, we introduce Iter-CONSRANK, an iterative scoring algorithm that filters out incorrect models and enriches the ensemble with correct ones.
   * 📊 Tested on two challenging datasets, Iter-CONSRANK increased the fraction of correct models by up to 8× for medium-difficulty targets and outperformed over 150 scoring functions in ranking accuracy.   * 📊 Tested on two challenging datasets, Iter-CONSRANK increased the fraction of correct models by up to 8× for medium-difficulty targets and outperformed over 150 scoring functions in ranking accuracy.
Line 49: Line 49:
 </WRAP> </WRAP>
  
 +
 +
 +</WRAP> /* end column */
 <fs 18>**🎯 KVL's Contribution**</fs> <fs 18>**🎯 KVL's Contribution**</fs>
 KVL's visualization scientist **Didier Barradas-Bautista** contributed significantly to the development and validation of the Iter-CONSRANK algorithm through: KVL's visualization scientist **Didier Barradas-Bautista** contributed significantly to the development and validation of the Iter-CONSRANK algorithm through:
Line 59: Line 62:
   * Active participation in CAPRI scoring rounds, validating the method in blind tests   * Active participation in CAPRI scoring rounds, validating the method in blind tests
  
-</WRAP> /* end column */ 
 </WRAP> /* end group */ </WRAP> /* end group */
  

Site Tools

  • Media Manager

Page Tools

  • Show page
  • Old revisions
  • Backlinks
  • Back to top

User Tools

  • Log In
highlights/2025/itercr.1761216282.txt.gz · Last modified: 2025/10/23 10:44 by Didier Barradas Bautista
Visualization Laboratory Wiki

Table of Contents

Welcome to the KVL

  • Home
  • Training Events
  • Facilities
  • Highlights

KVL Documentation

  • Frequently Asked Questions
  • Visualization Tools User Guides
  • AR & VR Tools User Guides
  • Data Science Tools User Guides
  • Facility User Guides