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Drug side effect tools

Discovering the unintended “off-targets” that predict adverse drug reactions (ADRs) is daunting by empirical methods alone. Drugs can act on multiple protein targets, some of which can be unrelated by traditional molecular metrics, and…
CASE-BBB…
Desktop

CASE-BBB prediction

Predicts Blood-Brain-Barrier (BBB) permeability from drug clinical phenotypes…

Predicts Blood-Brain-Barrier (BBB) permeability from drug clinical phenotypes (drug side effects and drug indications). CASE-BBB prediction can apply to both small compounds and macro-molecules…

SEP-L1000
Web

SEP-L1000 Side Effect Prediction based on L1000 data

A machine learning classifier to prioritize adverse drug reactions (ADRs) for…

A machine learning classifier to prioritize adverse drug reactions (ADRs) for approved drugs and pre-clinical small-molecule compounds by combining chemical structure (CS) and gene expression (GE)…

DrugClust
Desktop

DrugClust

Allows users to predict drugs side effects. DrugClust is a flexible package…

Allows users to predict drugs side effects. DrugClust is a flexible package that provides a multistep machine learning tool which implements three algorithms: K-Means, PAM and K-Seeds. It generates…

GPL
Desktop

GPL Graph Learning Package

Provides a multiple response partial least-squares (PLS) algorithm for graph…

Provides a multiple response partial least-squares (PLS) algorithm for graph mining. GPL is composed of two principal functions: (i) gSpan, which runs a frequent subgraph mining algorithm from graph…

adr-prediction
Desktop

adr-prediction

Generates different feature sets for adverse drug reaction (ADR) prediction.…

Generates different feature sets for adverse drug reaction (ADR) prediction. adr-prediction is based on the utilization of knowledge graphs. It can be easily extended to other feature sources or…

PatchSearch
Desktop

PatchSearch

Implements a local non-sequential searching for similar binding sites on…

Implements a local non-sequential searching for similar binding sites on protein surfaces with a controlled amount of flexibility. PatchSearch is based on an efficient and original quasi-clique…

TarPred
Web

TarPred

An online implementation of a recently published computational model for target…

An online implementation of a recently published computational model for target prediction based on a reference library containing 533 individual targets with 179,807 active ligands. TarPred accepts…

IntSide
Web

IntSide

A web server that integrates chemical and biological information to elucidate…

A web server that integrates chemical and biological information to elucidate the molecular mechanisms underlying drug side effects. IntSide currently catalogs 1175 side effects caused by 996 drugs,…

SePreSA
Web

SePreSA

A server for the prediction of population susceptible to serious adverse drug…

A server for the prediction of population susceptible to serious adverse drug reaction.

ToxReporter
Desktop

ToxReporter

Compiles information from a broad selection of resources and limits display of…

Compiles information from a broad selection of resources and limits display of the information to user-selected areas of interest. ToxReporter is a PERL-based web-application which utilizes a MySQL…

Label…
Algorithm

Label propagation algorithm

An integrative label propagation framework to predict drug-drug interaction…

An integrative label propagation framework to predict drug-drug interaction (DDI) by integrating label side effects, off-label side effects, and chemical structures. A systematic comparison of the…

DR. PRODIS
Web

DR. PRODIS DRugome PROteome and DISeasome

A comprehensive proteome scale approach that predicts human protein targets and…

A comprehensive proteome scale approach that predicts human protein targets and side effects of drugs. We develop a comprehensive proteome scale approach that predicts human protein targets and side…

BioSight
Web

BioSight

Allows to identify possible side effects of potential drug treatments on the…

Allows to identify possible side effects of potential drug treatments on the human body. BioSight works with an algorithm which permits to predict all of the potential biological targets that are at…

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