Abstract

pyscreener is a Python library that seeks to alleviate the challenges of large-scale structure-based design using computational docking. It provides a simple and uniform interface that is agnostic to the backend docking engine with which to calculate the docking score of a given molecule in a specified active site. Additionally, pyscreener features first-class support for task distribution, allowing users to seamlessly scale their code from a local, multi-core setup to a large, heterogeneous resource allocation.

Highlights

  • Summary pyscreener is a Python library that seeks to alleviate the challenges of large-scale structurebased design using computational docking

  • It provides a simple and uniform interface that is agnostic to the backend docking engine with which to calculate the docking score of a given molecule in a specified active site

  • Pyscreener features first-class support for task distribution, allowing users to seamlessly scale their code from a local, multi-core setup to a large, heterogeneous resource allocation

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Summary

Introduction

Summary pyscreener is a Python library that seeks to alleviate the challenges of large-scale structurebased design using computational docking. Pyscreener features first-class support for task distribution, allowing users to seamlessly scale their code from a local, multi-core setup to a large, heterogeneous resource allocation.

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