Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.

Project Activity

See All Activity >

License

BSD License

Follow AutoShim

AutoShim Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of AutoShim!

Additional Project Details

Operating Systems

Linux

Intended Audience

Advanced End Users, Developers, Education, Science/Research

User Interface

Command-line

Programming Language

C, S/R, Unix Shell

Related Categories

Unix Shell Molecular Science Software, Unix Shell Chemistry Software, Unix Shell Bio-Informatics Software, C Molecular Science Software, C Chemistry Software, C Bio-Informatics Software, S/R Molecular Science Software, S/R Chemistry Software, S/R Bio-Informatics Software

Registered

2007-10-24