Evidence map›Paper›PMID 34803258›Full record

ArticleBioinformation2020

DaiCee: A database for anti-cancer compounds with targets and side effect profiles.

Manikkam Rajalakshmi, Sugumaran Suveena, Periyasamy Vijayalakshmia, Sabapathy Indu, Anita Roy, Antony Ludas

Abstract read
In one paragraph

Article in Bioinformation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Virosomes: Beyond Vaccines.Life (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Bioactive peptides for anticancer therapies.Biomaterials translational · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Manikkam RajalakshmiDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.
Sugumaran SuveenaDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.
Periyasamy VijayalakshmiaDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.
Sabapathy InduDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.
Anita RoyDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.
Antony LudasDBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of the toxicity of compounds is more crucial before entering clinical trials. Awareness of physiochemical properties, possible targets and side effects has become a major public health issue to reduce risks. Experimental determination of analyzing the physiochemical properties of a drug, their interaction with specific receptors and identifying their side-effects remain challenging is time consuming and costly. We describe a manually compiled database named DaiCee database, which contains 2100 anticancer drugs with information on their physiochemical properties, targets of action and side effects. It includes both synthetic and herbal anti-cancer compounds. It allows the search for SMILES notation, Lipinski's and ADME/T properties, targets and side effect profiles of the drugs. This helps to identify drugs with effective anticancer properties, their toxic nature, drug-likeness for in-vitro and in-vivo experiments. It also used for comparative analysis and screening of effective anticancer drugs using available data for compounds in the database. The database will be updated regularly to provide the users with latest information. The database is available at the URL http://www.hccbif.org/usersearch.php.

Indexed as

ADME/TDrugpropertiesSMILEStarget

Identifiers

PMID34803258
PMCPMC8573451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.