cACP-DeepGram: classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause
the irregular growth and division of human cells. Several traditional approaches such as …
the irregular growth and division of human cells. Several traditional approaches such as …
AIPs-SnTCN: Predicting anti-inflammatory peptides using fastText and transformer encoder-based hybrid word embedding with self-normalized temporal …
Inflammation is a biologically resistant response to harmful stimuli, such as infection,
damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic …
damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic …
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
World widely, Fungal infections have become a serious issue for human beings. Fungal
infections normally happen once invading fungus appear on a specific area of the body and …
infections normally happen once invading fungus appear on a specific area of the body and …
iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach
Hormone binding proteins (HBPs) are soluble carrier proteins that can non-covalently and
selectively interact with the human hormone. HBPs plays a significant role in human life, but …
selectively interact with the human hormone. HBPs plays a significant role in human life, but …
[PDF][PDF] A Novel Multi-Stage Bispectral Deep Learning Method for Protein Family Classification.
A Al Fahoum, A Zyout, H Alquran… - Computers, Materials & …, 2023 - researchgate.net
Complex proteins are needed for many biological activities. Folding amino acid chains
reveals their properties and functions. They support healthy tissue structure, physiology, and …
reveals their properties and functions. They support healthy tissue structure, physiology, and …
[PDF][PDF] An Innovative Bispectral Deep Learning Method for Protein Family Classification.
Proteins are essential for many biological functions. For example, folding amino acid chains
reveals their functionalities by maintaining tissue structure, physiology, and homeostasis …
reveals their functionalities by maintaining tissue structure, physiology, and homeostasis …
Monthly precipitation prediction using neural network algorithms in the Thua Thien Hue Province
The prediction of precipitation is of importance in the Thua Thien Hue Province, which is
affected by climate change. Therefore, this paper suggests two models, namely, the …
affected by climate change. Therefore, this paper suggests two models, namely, the …
EDLM: ensemble deep learning model to detect mutation for the early detection of cholangiocarcinoma
The most common cause of mortality and disability globally right now is
cholangiocarcinoma, one of the worst forms of cancer that may affect people. When …
cholangiocarcinoma, one of the worst forms of cancer that may affect people. When …
A novel Fibonacci hash method for protein family identification by usingrecurrent neural networks
TB Alakuş, İ Türkoğlu - Turkish Journal of Electrical …, 2021 - journals.tubitak.gov.tr
Identification and classification of protein families are one of the most significant problem in
bioinformatics and protein studies. It is essential to specify the family of a protein since …
bioinformatics and protein studies. It is essential to specify the family of a protein since …
Classification of membrane protein using tetra peptide pattern
Membrane proteins play an important role in the life activities of organisms. The mechanism
of cell structures and biological activities can be identified only by knowing the functional …
of cell structures and biological activities can be identified only by knowing the functional …