Researchers From Tsinghua University, The National University of Singapore Have Recently Developed An AI Tool Called ‘MolMapNet’ That Predicts Drugs Pharmaceutical Properties

This page summarizes the projects mentioned and recommended in the original post on /r/artificial
Deep Learning drug-discovery Fingerprint descriptors molmapnet

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured

  • bidd-molmap

    MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

    • Github: https://github.com/shenwanxiang/bidd-molmap

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Query

    1 project | /r/comp_chem | 25 Sep 2022

  • Deepchem – Democratizing Deep-Learning for Drug Discovery

    1 project | news.ycombinator.com | 19 Jul 2022

  • Deepchem dataset load_tox21()

    1 project | /r/CompDrugNerds | 30 Jan 2022

  • Researchers Open-Source ‘TorchDrug’: A PyTorch-Based Machine Learning Platform Designed For Drug Discovery

    1 project | /r/ArtificialInteligence | 27 Oct 2021

  • TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

    1 project | /r/chemistry | 12 Aug 2021