[HTML][HTML] Identification of cyclin protein using gradient boost decision tree algorithm
Cyclin proteins are capable to regulate the cell cycle by forming a complex with cyclin-
dependent kinases to activate cell cycle. Correct recognition of cyclin proteins could provide …
dependent kinases to activate cell cycle. Correct recognition of cyclin proteins could provide …
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 …
Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models
Coxiella burnetii (Cb) is a hardy, stealth bacterial pathogen lethal for humans and animals.
Its tremendous resistance to the environment, ease of propagation, and incredibly low …
Its tremendous resistance to the environment, ease of propagation, and incredibly low …
Detection of transcription factors binding to methylated DNA by deep recurrent neural network
Transcription factors (TFs) are proteins specifically involved in gene expression regulation. It
is generally accepted in epigenetics that methylated nucleotides could prevent the TFs from …
is generally accepted in epigenetics that methylated nucleotides could prevent the TFs from …
[HTML][HTML] Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT
Y Luo, Y Chen, HZ **e, W Zhu, G Zhang - Computers in Biology and …, 2024 - Elsevier
Off-target effects of CRISPR/Cas9 can lead to suboptimal genome editing outcomes.
Numerous deep learning-based approaches have achieved excellent performance for off …
Numerous deep learning-based approaches have achieved excellent performance for off …
Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models
Francisella tularensis (Ft) poses a significant threat to both animal and human populations,
given its potential as a bioweapon. Current research on the classification of this pathogen …
given its potential as a bioweapon. Current research on the classification of this pathogen …
A new sequential forward feature selection (SFFS) algorithm for mining best topological and biological features to predict protein complexes from protein–protein …
Protein–protein interaction plays an important role in the understanding of biological
processes in the body. A network of dynamic protein complexes within a cell that regulates …
processes in the body. A network of dynamic protein complexes within a cell that regulates …
Detecting blood methylation signatures in response to childhood cancer radiotherapy via machine learning methods
Simple Summary Radiotherapy for cancer patients can cause abnormal DNA methylation.
We developed a computational workflow that can identify crucial methylation alterations …
We developed a computational workflow that can identify crucial methylation alterations …
Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D
X Gu, L Guo, B Liao, Q Jiang - Frontiers in Genetics, 2021 - frontiersin.org
Phages have seriously affected the biochemical systems of the world, and not only are
phages related to our health, but medical treatments for many cancers and skin infections …
phages related to our health, but medical treatments for many cancers and skin infections …
[PDF][PDF] Potential Role of Zoonoses in Bioterrorism
The presence of zoonotic pathogens in bioterrorism poses a serious danger to worldwide
health and safety. Zoonotic diseases, which can be transmitted from animals to humans, are …
health and safety. Zoonotic diseases, which can be transmitted from animals to humans, are …