[HTML][HTML] Review of biological network data and its applications
Studying biological networks, such as protein-protein interactions, is key to understanding
complex biological activities. Various types of large-scale biological datasets have been …
complex biological activities. Various types of large-scale biological datasets have been …
A comprehensive survey of deep learning techniques in protein function prediction
R Dhanuka, JP Singh, A Tripathi - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Protein function prediction is a major challenge in the field of bioinformatics which aims at
predicting the functions performed by a known protein. Many protein data forms like protein …
predicting the functions performed by a known protein. Many protein data forms like protein …
A survey of computational methods for protein function prediction
Rapid advances in high-throughout genome sequencing technologies have resulted in
millions of protein-encoding gene sequences with no functional characterization. Automated …
millions of protein-encoding gene sequences with no functional characterization. Automated …
Identifying inflammation-related targets of natural lactones using network pharmacology, molecular modeling and in vitro approaches
Natural lactones have been used in traditional and folklore medicine for centuries owing to
their anti-inflammatory properties. The study uses a multifaceted approach to identify lead …
their anti-inflammatory properties. The study uses a multifaceted approach to identify lead …
PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms
Protein function prediction is gradually emerging as an essential field in biological and
computational studies. Though the latter has clinched a significant footprint, it has been …
computational studies. Though the latter has clinched a significant footprint, it has been …
A tensor-based bi-random walks model for protein function prediction
S Hu, Z Zhang, H Xiong, M Jiang, Y Luo, W Yan… - BMC …, 2022 - Springer
Background The accurate characterization of protein functions is critical to understanding life
at the molecular level and has a huge impact on biomedicine and pharmaceuticals …
at the molecular level and has a huge impact on biomedicine and pharmaceuticals …
FunPred-1: Protein function prediction from a protein interaction network using neighborhood analysis
Proteins are responsible for all biological activities in living organisms. Thanks to genome
sequencing projects, large amounts of DNA and protein sequence data are now available …
sequencing projects, large amounts of DNA and protein sequence data are now available …
[HTML][HTML] Discovery and Prediction Study of the Dominant Pharmacological Action Organ of Aconitum carmichaeli Debeaux Using Multiple Bioinformatic Analyses
M Park, EH Seo, JM Yi, S Cha - International Journal of Molecular …, 2024 - mdpi.com
Herbs, such as Aconitum carmichaeli Debeaux (ACD), have long been used as therapies,
but it is difficult to identify which organs of the human body are affected by the various …
but it is difficult to identify which organs of the human body are affected by the various …
[HTML][HTML] FunPred 3.0: improved protein function prediction using protein interaction network
Proteins are the most versatile macromolecules in living systems and perform crucial
biological functions. In the advent of the post-genomic era, the next generation sequencing …
biological functions. In the advent of the post-genomic era, the next generation sequencing …
Protein function prediction from protein–protein interaction network using gene ontology based neighborhood analysis and physico-chemical features
Protein Function Prediction from Protein–Protein Interaction Network (PPIN) and physico-
chemical features using the Gene Ontology (GO) classification are indeed very useful for …
chemical features using the Gene Ontology (GO) classification are indeed very useful for …