Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on-and off-target activities
G Zhang, Y Luo, X Dai, Z Dai - Briefings in Bioinformatics, 2023 - academic.oup.com
In silico design of single guide RNA (sgRNA) plays a critical role in clustered regularly
interspaced, short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) …
interspaced, short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) …
[PDF][PDF] RETRACTED: Optimizing sgRNA to Improve CRISPR/Cas9 Knockout Efficiency: Special Focus on Human and Animal Cell
S Shojaei Baghini, ZR Gardanova, AO Zekiy… - … in Bioengineering and …, 2021 - frontiersin.org
During recent years, clustered regularly interspaced short palindromic repeat
(CRISPR)/CRISPR-associated protein 9 (Cas9) technologies have been noticed as a rapidly …
(CRISPR)/CRISPR-associated protein 9 (Cas9) technologies have been noticed as a rapidly …
A similarity-based method for prediction of drug side effects with heterogeneous information
X Zhao, L Chen, J Lu - Mathematical biosciences, 2018 - Elsevier
Drugs can produce intended therapeutic effects to treat different diseases. However, they
may also cause side effects at the same time. For an approved drug, it is best to detect all …
may also cause side effects at the same time. For an approved drug, it is best to detect all …
Determining protein–protein functional associations by functional rules based on gene ontology and KEGG pathway
Protein–protein interactions (PPIs) describe the direct physical contact of two proteins that
usually results in specific biological functions or regulatory processes. The characterization …
usually results in specific biological functions or regulatory processes. The characterization …
Predicting RNA 5‐Methylcytosine Sites by Using Essential Sequence Features and Distributions
Methylation is one of the most common and considerable modifications in biological systems
mediated by multiple enzymes. Recent studies have shown that methylation has been …
mediated by multiple enzymes. Recent studies have shown that methylation has been …
Identifying transcriptomic signatures and rules for SARS-CoV-2 infection
The world-wide Coronavirus Disease 2019 (COVID-19) pandemic was triggered by the
widespread of a new strain of coronavirus named as severe acute respiratory syndrome …
widespread of a new strain of coronavirus named as severe acute respiratory syndrome …
Predicting drug side effects with compact integration of heterogeneous networks
X Zhao, L Chen, ZH Guo, T Liu - Current Bioinformatics, 2019 - ingentaconnect.com
Background: The side effects of drugs are not only harmful to humans but also the major
reasons for withdrawing approved drugs, bringing greater risks for pharmaceutical …
reasons for withdrawing approved drugs, bringing greater risks for pharmaceutical …
[HTML][HTML] Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms
Lung cancer is one of the most common cancer types worldwide and causes more than one
million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) …
million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) …
Prediction of drug side effects with a refined negative sample selection strategy
H Liang, L Chen, X Zhao… - … and Mathematical Methods …, 2020 - Wiley Online Library
Drugs are an important way to treat various diseases. However, they inevitably produce side
effects, bringing great risks to human bodies and pharmaceutical companies. How to predict …
effects, bringing great risks to human bodies and pharmaceutical companies. How to predict …
iMPT‐FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach
Membrane protein is an important kind of proteins. It plays essential roles in several cellular
processes. Based on the intramolecular arrangements and positions in a cell, membrane …
processes. Based on the intramolecular arrangements and positions in a cell, membrane …