Coder Social home page Coder Social logo

camb-paper's People

Contributors

dsmurrell avatar isidroc avatar

Watchers

 avatar  avatar  avatar

camb-paper's Issues

The 4 steps in the introduction differ from those in the description

Introduction

(i) compound standardisation, (ii) descriptor calculation, (iii) preprocessing, model training and validation, and (iv) bioactivity/property prediction for new molecules.

Description

(i) compound standardisation, (ii) descriptor calculation, (iii) preprocessing, model training and validation, and (iv) visualisation.

Maybe we should change the introduction to fit the description?

I don't think we have done this yet.

I've added this to the paper:

\subsection{Predictions for new molecules}
One of the major benefits of having all the tools available in one framework is that it makes it easy to run new molecules through exactly the same routines that the training set of molecules was subjected to before the model training process. {\it camb} provides the option to provide a test set of molecules along with a trained model, and outputs predictions on the test set.

but I don't think we have written this function actually! have we?

if not I'll add it to myself on the camb issues list.

Andreas asks about changes to the standardisation that might take some time.

These were his comments:

"Can you also input minimum required numbers of atoms, and is this possible across all elements? This would be more flexible for the user
Also, ring count filters would be of practical relevance, and - if possible - a filter of undesired functional groups (such as e.g. PAINS)
How are solvents and counterions dealt with - are they simply stripped, or are there options the user can set how they are dealt with?"

Which of these, do you think we should implement (if any) before publication?

How are protonation states assigned during standardization, at ph7 or otherwise?

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.