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PLACER

Confidence-ranked ligand and protein side-chain ensembles.

Overview

PLACER generates local protein–ligand conformational ensembles with an atomistic denoising network. Sample ligand poses and nearby side chains, or explore an apo protein pocket around a selected residue. Ligands must already be present in the input complex.

Run PLACER on Neurosnap

The PLACER online webserver allows anybody with a Neurosnap account to run and access PLACER, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.

PLACER service preview

Features

  • Sample ligand poses and nearby protein side chains in a local pocket.
  • Explore apo side-chain ensembles around a target residue.
  • Predict multiple ligands together or keep selected cofactors fixed.
  • Rank samples by predicted positional uncertainty or lDDT confidence.

Statistics

Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.

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API Request

Access PLACER using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.

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Citations

Please cite the original work when using PLACER in publications or research outputs.

PLACER: Protein-Ligand Atomistic Conformational Ensemble Resolver. https://doi.org/10.1101/2024.09.25.614868

Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/

Set up your run

Configure PLACER

Choose your inputs and settings, then review the estimated credits before submitting.

Use a note to recognize this job later. It does not affect the results.

Inputs & configuration

Loading inputs and options... validating knobs, tuning dials, and staging your experiment.

Ready to submit your job?

Review your configuration, then confirm the estimated credit cost before you run the job.

Note that credit estimates are not guaranteed and runtime can vary depending on inputs and settings.

Estimated Credits: calculating...

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