FasciolaDrugApp
  • Infos and Help
    • Project Info
    • Contact
  • Transcription
  • Orthology
  • Essentiality
  • Annotation
  • Drugs
  • Summary and Analysis
  • Drug results
    • ChEMBL
    • Drugbank
  • FAQ
  • How to cite

Welcome to the FasciolaDrugApp

Research in the Haeberlein lab focuses on combating multicellular pathogens and deciphering their cell biology. The common liver fluke Fasciola hepatica is a globally prevalent pathogen and causes fascioliasis, a Neglected Tropical Disease (NTD) in humans

Project description:

This online application allows a prioritization of potential drug targets within the inferred proteome of Fasciola hepatica and provides a list of predicted compounds to target these proteins. The pipeline allows customizing selection criteria and integrates information on:

1. transcriptional data available for life stages, cell- and tissue-types of F. hepatica

2. orthology to proteins in other parasitic flatworm species

3. gene essentiality based on knockout data from model organisms or based on the existence of a unique InterPro identifier

4. pre-selection of genes with a preferred annotation based on their InterPro domain

5. drug-drug target associations and chemical properties of predicted ligands

In the end, genes and proteins are ranked from highest to lowest overall scores.

Contact Information

For contacting the Haeberlein lab, visit our website:

Haeberlein Lab website

ChEMBL

Other requirements

DrugBank

Other requirements
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1.) Which data were integrated into the app?

a.) Genome of Fasciola hepatica:

PRJNA179522 (WormBase ParaSite: database version WBPS19)

b.) Transcriptomics data of different Fasciola hepatica life stages:

Cwiklinski K, Dalton JP, Dufresne PJ, La Course J, Williams DJ, Hodgkinson J, Paterson S. The Fasciola hepatica genome: gene duplication and polymorphism reveals adaptation to the host environment and the capacity for rapid evolution. Genome Biol. 2015 Apr 3;16(1):71.doi: 10.1186/s13059-015-0632-2

c.) Single-cell transcriptomics data of Fasciola hepatica adult worms:

Oliver Puckelwaldt O, Gramberg S, Ajmera S, Koepke J, Samakovlis C, Haeberlein S. Single-cell transcriptomics identifies a p21-activated kinase important for survival of the zoonotic parasite Fasciola hepatica. bioRxiv.Mar2024. doi: https://doi.org/10.1101/2024.03.26.586785.

d.) Spatial transcriptomics data of Fasciola hepatica adult worms:

Gramberg S, Puckelwaldt O, Schmitt T, Lu Z, Haeberlein S. Spatial transcriptomics of a parasitic flatworm provides a molecular map of vaccine candidates, drug targets and drug resistance genes. bioRxiv.Sep2023.doi:10.1101/2023.12.11.571084. Nat Comm, under revision.

2.) How to use the check-boxes and slide bar?

For most criteria related to proteins and ligands, you have four options to customize their relevance for the overall drug target prediction. You can (1) assign weighting by means of a slider, depending on the importance you like to give to the criterion, (2) let a criterion be ignored if you consider it not relevant for your prediction, (3) define it as required, which means all proteins/compounds that do not satisfy the required feature will be removed, and (4) exclude proteins that fulfil the criterion, e.g. because you consider it disadvantageous for a drug target

The final ranking score for a protein after the selection process is then determined by calculating the sum of weighting factors for all individual criteria.

Patrice Tegni Sontia, Andreas J. Stroehlein and Simone Haeberlein: FasciolaDrugApp – an interactive tool to prioritize drugs and drug targets for the liver fluke Fasciola hepatica. Unpublished