ReviewNorthern clinics of Istanbul2024
Bioinformatics approach for searching for natural products in vector-borne disease management.
Review in Northern clinics of Istanbul, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vector-borne disease is an important public health problem. This disease is common in tropical areas and affects millions of people. The control and management of disease is an important consideration. Effective treatment is important in management of patients infected with vector-borne disease. A common problem in therapeutic management of the patient is the lack of an effective drug. Therefore, it is necessary to find a new effective drug for managing vector-borne disease. To search for a new drug, new technologies are applicable. Bioinformatics technologies are useful in new drug search. Application of the bioinformatics technologies in new anti-vector-borne disease drug search is interesting. In this review, the author briefly discusses the use of bioinformatics technology in searching for natural products in vector-borne disease management. Concepts and examples of some important diseases are presented.
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.