Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alfonso Rodriguez-Patón"'
Publikováno v:
Methods. 211:10-22
Autor:
Xue Li, Peifu Han, Wenqi Chen, Changnan Gao, Shuang Wang, Tao Song, Muyuan Niu, Alfonso Rodriguez-Patón
Publikováno v:
Briefings in bioinformatics.
Protein–protein interactions (PPIs) are a major component of the cellular biochemical reaction network. Rich sequence information and machine learning techniques reduce the dependence of exploring PPIs on wet experiments, which are costly and time-
Publikováno v:
Briefings in bioinformatics. 23(1)
The properties of the drug may be altered by the combination, which may cause unexpected drug–drug interactions (DDIs). Prediction of DDIs provides combination strategies of drugs for systematic and effective treatment. In most of deep learning-bas
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Access, Vol 7, Pp 166823-166832 (2019)
The incidence of cholelithiasis is more than 10% in the natural population. It is a common and frequently occurring disease worldwide. The lesions are predominantly sand-like and are difficult to distinguish in medical images. Although ultrasound is
Externí odkaz:
https://doaj.org/article/8483a3bc56c74c4fb1274061590ec395
Publikováno v:
IEEE Access, Vol 6, Pp 35392-35401 (2018)
Traditional methods of analyzing genes mainly focus on a single gene. However, they are time consuming, costly, and neglect the interaction between genes. To overcome the shortcomings of traditional methods, many computational techniques have been pr
Externí odkaz:
https://doaj.org/article/4c9ce2a9d6c443cb837d102553e8c5f9
Publikováno v:
IEEE Access, Vol 6, Pp 65548-65556 (2018)
Enzymatic numerical P systems are inspired by the biological structure of cells and the “processing of information”regulated by enzymes on chemical objects, where natural numbers are basic entities to work with. Enzymatic numerical P systems can
Externí odkaz:
https://doaj.org/article/a544718003894a49b8280f0354244192
Publikováno v:
BMC Medical Genomics, Vol 10, Iss S5, Pp 45-53 (2017)
Abstract Background Accurately predicting pathogenic human genes has been challenging in recent research. Considering extensive gene–disease data verified by biological experiments, we can apply computational methods to perform accurate predictions
Externí odkaz:
https://doaj.org/article/fb1f682326084db0902f43c5c6d6ca8d
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221720 (2019)
Artificial intelligence (AI) tools have been applied to diagnose or predict disease risk from medical images with recent data disclosure actions, but few of them are designed for mobile terminals due to the limited computational power and storage cap
Externí odkaz:
https://doaj.org/article/93bbe4b37653471d90e1cce2781d4ed5
Publikováno v:
Biomolecules, Vol 11, Iss 5, p 643 (2021)
The binding affinity of small molecules to receptor proteins is essential to drug discovery and drug repositioning. Chemical methods are often time-consuming and costly, and models for calculating the binding affinity are imperative. In this study, w
Externí odkaz:
https://doaj.org/article/e0447d7eda334e5f94183bbdaa2b78d0