Personizing the prediction of future susceptibility to a specific disease

Taha, Kamal; Davuluri, Ramana V.; Yoo, Paul D.; Spencer, Jesse

doi:10.1371/journal.pone.0243127

Cited by 4 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Oxidative stress, induced by Reactive oxygen species (ROS), plays an imperative role in the development and progression of numerous life-threatening degenerative diseases in the body, i.e., cardiovascular disease, cancer, diabetes etc. (Glasauer and Chandel, 2013;Kabel, 2014;Kasote et al, 2015;Di Meo et al, 2016;Ahmed and Mohammed, 2020;Taha et al, 2021). Antioxidants are compounds that have the ability, even in minor concentrations, to avert and delay the oxidation of easily oxidizable substances (Brewer, 2011;Sen and Chakraborty, 2011).…”

Section: Introductionmentioning

confidence: 99%

Biochemical Profiling for Antioxidant and Therapeutic Potential of Pakistani Chickpea (Cicer arietinum L.) Genetic Resource

2021

View full text Add to dashboard Cite

In Pakistan, chickpeas (Cicer arietinum L.) are the largest grown legume crops, especially in desert areas. Along with an excellent source of nutrition, chickpea seeds have discernible medicinal and antioxidant characteristics. The diverse set of 90 chickpea genotypes (66 desi and 24 kabuli) were collected from different research zones in Pakistan, and seed flour was used for biochemical profiling. Genotypes were significantly different (Tukey HSD test, P < 0.05) for the traits under investigation. In non-enzymatic antioxidants, highest seed total phenolic contents (TPC) (34725 ± 275 μM/g s. wt.) was found in CM-98 (desi), ascorbic acid (AsA) (69.23 ± 2.25 μg/g s. wt.) in WH-3 (desi), and total flavonoid content (TFC) (394.98 ± 13.06 μg/mL sample) was detected in WH-11 (desi). In the class of enzymatic antioxidants, the highest seed ascorbate peroxidase (APX) (1680 ± 40 Units/g s. wt.) was detected in Tamman-2013 (kabuli), peroxidases (POD) (2564.10 ± 233.10 Units/g s. wt.) activity in CM1235/08 (desi), and superoxide dismutase (SOD) (279.76 ± 50 Units/g s. wt.) was detected in CH24/11 (desi). Highest seed catalase activity (CAT) (893 ± 50 Units/g s. wt.) and proline content (272.50 ± 20.82 μg/g s. wt.) was detected in an ICC-4951 (desi). In hydrolytic enzymes, the highest activity of esterase (37.05 μM/min/g s. wt) was found in, CH56/09(Kabuli), protease (11080 ± 10 Units/g s. wt.) in Karak-2 (desi), and α-amylase (213.02 ± 3.20 mg/g s. wt.) was observed in CH74/08 (kabuli). In other biochemical parameters, the highest seed total oxidant status (TOS) (356 ± 17.50 μM/g s. wt.) was detected in CM3457/91 (desi); malondialdehyde (MDA) content (295.74 ± 3.097 uM/g s. wt.) was observed in CM-2008 (kabuli), and total antioxidant capacity (TAC) (8.36 ± 0.082 μM/g s. wt.) was found in CM-72 (desi). In case of pigment analysis, Sheenghar-2000 (desi) depicted highest lycopene (12.579 ± 0.313 μg/g s. wt.) and total carotenoids (58.430.23 ± 0.569 μg/g s. wt.) contents. For seed therapeutic potential, the highest seed α-amylase inhibition (82.33 ± 8.06%) was observed in CM-88 (desi), while WH-1, WH-6, and ICCV-96030 (desi) depicted the highest value for seed anti-inflammatory potential (78.88 ± 0.55%). Genotypes with the highest antioxidant and therapeutic potential can be utilized as a natural antioxidant source and in breeding programs aimed at improving these traits in new breeding lines.

show abstract

Section: Introductionmentioning

confidence: 99%

Biochemical Profiling for Antioxidant and Therapeutic Potential of Pakistani Chickpea (Cicer arietinum L.) Genetic Resource

2021

View full text Add to dashboard Cite

show abstract

“…( 13 ) and Taha et al. ( 14 ). However, sentence-based methods can extract relations only within a sentence.…”

Section: Introductionmentioning

confidence: 95%

RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion

Ting

et al. 2021

NAR Genomics and Bioinformatics

View full text Add to dashboard Cite

Relation extraction (RE) is a fundamental task for extracting gene–disease associations from biomedical text. Many state-of-the-art tools have limited capacity, as they can extract gene–disease associations only from single sentences or abstract texts. A few studies have explored extracting gene–disease associations from full-text articles, but there exists a large room for improvements. In this work, we propose RENET2, a deep learning-based RE method, which implements Section Filtering and ambiguous relations modeling to extract gene–disease associations from full-text articles. We designed a novel iterative training data expansion strategy to build an annotated full-text dataset to resolve the scarcity of labels on full-text articles. In our experiments, RENET2 achieved an F1-score of 72.13% for extracting gene–disease associations from an annotated full-text dataset, which was 27.22, 30.30, 29.24 and 23.87% higher than BeFree, DTMiner, BioBERT and RENET, respectively. We applied RENET2 to (i) ∼1.89M full-text articles from PubMed Central and found ∼3.72M gene–disease associations; and (ii) the LitCovid articles and ranked the top 15 proteins associated with COVID-19, supported by recent articles. RENET2 is an efficient and accurate method for full-text gene–disease association extraction. The source-code, manually curated abstract/full-text training data, and results of RENET2 are available at GitHub.

show abstract

Evaluation of enzymatic and non-enzymatic antioxidant potential of sprouted indigenous legumes from Pakistan

Naz

Razzaq

Raza

et al. 2023

International Journal of Food Properties

View full text Add to dashboard Cite

Personizing the prediction of future susceptibility to a specific disease

Cited by 4 publications

References 35 publications

Biochemical Profiling for Antioxidant and Therapeutic Potential of Pakistani Chickpea (Cicer arietinum L.) Genetic Resource

Biochemical Profiling for Antioxidant and Therapeutic Potential of Pakistani Chickpea (Cicer arietinum L.) Genetic Resource

RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion

Evaluation of enzymatic and non-enzymatic antioxidant potential of sprouted indigenous legumes from Pakistan

Contact Info

Product

Resources

About