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.
Dose response curves and DIP rates for cell proliferation data in Python
A Bio2BEL package for DrugBank (https://www.drugbank.ca)
Web app for high throughput cell proliferation data
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
Models the process of releasing of pharmacological substances.
R module with equations for clinical pharmacokinetics [DEPRECATED]
신약개발을 위한 실전 약동학 I (기본원리와 자료해석) https://pipetcpt.github.io/pharmapk
Fit rates in an ion channel gating mechanism to idealized openings and closings.
A Python wrapper for the IUPHAR/BPS Guide to PHARMACOLOGY API
Free web app to simulate TCI/TIVA (target-controlled infusion/total intravenous anaesthesia)
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.
An R package containing functions for quantifying drug exposure using routinely collected prescribing databases
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