CNN-DDI: A drug-drug interaction prediction method using convolutional neural networks
Drug-drug interaction (DDI) prediction is gaining much more interest in the drug development process and disease diagnosis. Recently, a novel algorithm is proposed based on convolutional neural networks (CNN).
A new long short-term memory method to predict the spread of covid19
As covid19 has posed a major threat to human health and the economy, it is necessary to take appropriate measures to control the pandemic. A long short-term memory (LSTM) network method has been proposed to forecast the spread of covid19 [1].
Prediction of biochemical reactions catalyzed by enzymes in humans
There are many biological important enzymes which exist in the human body, one of them is Cytochrome P450 (CyP450) enzymes which are mostly considered in drug discovery due to their involvement in the majority (75%) of drug metabolism [1]. Therefore, various in-silico methods have been applied to predict the possible substrates of CyP 450 enzymes [2-4]. Recently, […]
Machine learning in prediction of ageing-related genes/proteins
Ageing has a great impact on human health, when people’s age advance towards 80 years, approximately half of the proteins in the body get damaged through oxidation. The chemical degradations occurring in our body produce energy by the consumed food via oxidation in the presence of oxygen.
Bioinformatics Challenges and Advances in RNA interference
RNA interference is a post-transcriptional gene regulatory mechanism to down-regulate the gene expression either by mRNA degradation or by mRNA translation inhibition. The mechanism involves a small partially complementary RNA against the target gene. To perform the action, it also requires a class of dedicated proteins to process these primary RNAs into mature […]
New features to predict miRNA target sites in mRNAs
In order to study gene regulation, it is necessary to identify the target sites of miRNA in mRNA. miRNAs have been the main point of research as its binding to mRNA degrades the target mRNA and also prevents the translation of target mRNAs [1-4]. The identification of miRNA target sites, target mRNAs and the potential […]