Graph convolutional neural network for multirelational link prediction
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Updated
Nov 21, 2022 - Jupyter Notebook
Graph convolutional neural network for multirelational link prediction
Write reproducible code for getting and processing ChEMBL
Python implementation of common ADME properties.
A simple machine learning model for small-molecule target prediction in Python.
☀️ Shiny App: pkr - Noncompartmental analysis https://asan.shinyapps.io/pkrshiny
This app enables exploration of the Drug-Target Explorer database.
A Bio2BEL package for DrugBank (https://www.drugbank.ca)
Dose response curves and DIP rates for cell proliferation data in Python
Web app for high throughput cell proliferation data
This application is being developed by graduates in Bioengineering from the University of Burgos. The goal is to create an application that provides assistance to clinicians and researchers at the University Hospital of Burgos in the administration of medications to patients.
R module with equations for clinical pharmacokinetics [DEPRECATED]
Models the process of releasing of pharmacological substances.
A Python wrapper for the IUPHAR/BPS Guide to PHARMACOLOGY API
Fit rates in an ion channel gating mechanism to idealized openings and closings.
신약개발을 위한 실전 약동학 I (기본원리와 자료해석) https://pipetcpt.github.io/pharmapk
An R package containing functions for quantifying drug exposure using routinely collected prescribing databases
가톨릭대학교 의과대학 약리학교실, Department of Pharmacology, College of Medicine http://pharmacology.catholic.ac.kr
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
Add a description, image, and links to the pharmacology topic page so that developers can more easily learn about it.
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