ArticleBioinformation2007
Choke point analysis of metabolic pathways in E.histolytica: a computational approach for drug target identification.
Article in Bioinformation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Computational Guided Drug Targets Identification against Extended-Spectrum Beta-Lactamase-Producing Multi-Drug Resistant UropathogenicBiomedicines · 2023Article
- Rapid-SL identifies synthetic lethal sets with an arbitrary cardinality.Scientific reports · 2022Article
- Identification of the key target profiles underlying the drugs of narrow therapeutic index for treating cancer and cardiovascular disease.Computational and structural biotechnology journal · 2021Article
- Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target.Frontiers in pharmacology · 2018Article
- Drug Target Identification and Prioritization for Treatment of Ovine Foot Rot: An In Silico Approach.International journal of genomics · 2016Article
- DT-Web: a web-based application for drug-target interaction and drug combination prediction through domain-tuned network-based inference.BMC systems biology · 2015Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Article
- Discovery of anthelmintic drug targets and drugs using chokepoints in nematode metabolic pathways.PLoS pathogens · 2013Article
- Targeting protein-protein interactions for parasite control.PloS one · 2011Article
- Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology.Briefings in bioinformatics · 2010Article
- Network analyses in systems pharmacology.Bioinformatics (Oxford, England) · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the Entamoeba genome essentially complete, the organism can be studied from a whole genome standpoint. The understanding of cellular mechanisms and interactions between cellular components is instrumental to the development of new effective drugs and vaccines. Metabolic pathway analysis is becoming increasingly important for assessing inherent network properties in reconstructed biochemical reaction networks. Metabolic pathways illustrate how proteins work in concert to produce cellular compounds or to transmit information at different levels. Identification of drug targets in E. histolytica through metabolic pathway analysis promises to be a novel approach in this direction. This article focuses on the identification of drug targets by subjecting the Entamoeba genome to BLAST with the e-value inclusion threshold set to 0.005 and choke point analysis. A total of 86.9 percent of proposed drug targets with biological evidence are chokepoint reactions in Entamoeba genome database.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.