Git Product home page Git Product logo

deepsp's Introduction

DeepSP

DeepSP is an antibody-specific surrogate model that can generate 30 spatial properties of an antibody solely based on their sequence.

How to generate descriptors (features) using DeepSP

  • Prepare your input file according to the format DeepSP_input.csv
  • Run the notebook file DeepSP_predictor.ipynb
  • DeepSP structural properties for sequences inputed, would be polulated and saved to a csv file.

Citation

DeepSP is currently under review and is temporarily available on bioRxiv for reference.

https://www.biorxiv.org/content/10.1101/2024.02.28.582582v1

deepsp's People

Contributors

lailabcode avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.