Ames Mutagenicity Prediction

Launch App Logo

Application

Name
Ames Mutagenicity Prediction
Type
Custom App
URL
https://ames.serve.scilifelab.se
Source Code
Image
ghcr.io/olas/olas-ames-cpsign:latest
Created
03 Feb, 2024
Updated
18 Apr, 2024
Tags
"conformal prediction", cheminformatics, qsar

Predicts Ames Mutagenicity for a chemical structure using an SVM model with Signatures features via the CPSign modeling tool.

Software

Type
Cloud Application
Operating System
Kubernetes
Version
ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.0.1

Resource

CPU Request
500m
CPU Limit
2000m
Memory Request
1Gi
Memory Limit
4Gi
Storage Request
100Mi
Storage Limit
5000Mi

Project

Name
Ames Serve
Created
03 Feb, 2024

Owner
Ola Spjuth
ola.spjuth@uu.se
Department of Pharmaceutical Biosciences
Uppsala universitet (Uppsala University)
Download All Metadata (JSON)

SciLifeLab Serve (beta) is developed and operated by the SciLifeLab Data Centre. SciLifeLab Serve is free to use for all life science researchers affiliated with a Swedish research institution and their collaborators. The service is hosted on a Kubernetes cluster. The code behind SciLifeLab Serve is available on Github.

Please email serve@scilifelab.se with any questions.

version 2025-06-18 (v3.2.1-beta)

Supported by:

SciLifeLab
Swedish Foundation for Strategic Research
Knut and Alice Wallenberg Foundation