Molecular communication and nanonetwork for targeted drug delivery: A survey

UAK Chude-Okonkwo, R Malekian… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Molecular communication (MC) and molecular network (MN) are communication paradigms
that use biochemical signaling to achieve information exchange among naturally and …

Review of machine learning methods for the prediction and reconstruction of metabolic pathways

HA Shah, J Liu, Z Yang, J Feng - Frontiers in Molecular Biosciences, 2021 - frontiersin.org
Prediction and reconstruction of metabolic pathways play significant roles in many fields
such as genetic engineering, metabolic engineering, drug discovery, and are becoming the …

A Comprehensive Review on Machine Learning Techniques for Protein Family Prediction

T Idhaya, A Suruliandi, SP Raja - The Protein Journal, 2024 - Springer
Proteomics is a field dedicated to the analysis of proteins in cells, tissues, and organisms,
aiming to gain insights into their structures, functions, and interactions. A crucial aspect …

[HTML][HTML] Investigating biological mechanisms of colour changes in sustainable food systems: The role of Starmerella bacillaris in white wine colouration using a …

V da Silva Duarte, L Treu, S Campanaro… - Food Research …, 2024 - Elsevier
This study explores the biological mechanisms behind colour changes in white wine
fermentation using different strains of Starmerella bacillaris. We combined food engineering …

A Comprehensive Review of Computation‐Based Metal‐Binding Prediction Approaches at the Residue Level

N Ye, F Zhou, X Liang, H Chai, J Fan… - BioMed research …, 2022 - Wiley Online Library
Clear evidence has shown that metal ions strongly connect and delicately tune the dynamic
homeostasis in living bodies. They have been proved to be associated with protein structure …

Detecting N6-methyladenosine sites from RNA transcriptomes using random forest

A Khan, HU Rehman, U Habib, U Ijaz - Journal of Computational Science, 2020 - Elsevier
Abstract N6-methyladenosine (m6A) modifications are one the most frequently occurring
RNA post transcriptional modifications. These modifications perform vital roles in different …

M6A-GSMS: Computational identification of N6-methyladenosine sites with GBDT and stacking learning in multiple species

S Zhang, J Wang, X Li, Y Liang - Journal of Biomolecular Structure …, 2022 - Taylor & Francis
Abstract N6-methyladenosine (m6A) is one of the most abundant forms of RNA methylation
modifications currently known. It involves a wide range of biological processes, including …

[PDF][PDF] Combined use of k-mer numerical features and position-specific categorical features in fixed-length DNA sequence classification

D Phan, NG Nguyen, FR Lumbanraja… - Journal of …, 2017 - repository.pnj.ac.id
To classify DNA sequences, k-mer frequency is widely used since it can convert
variablelength sequences into fixed-length and numerical feature vectors. However, in case …

Hybrid Machine Learning Models for Distributed Biological Data in Multi-Cloud Environment

K Thenmozhi, M Pyingkodi, K Ramesh - Operationalizing Multi-Cloud …, 2022 - Springer
In real-world environment, the term big data is referred to portray the huge volume of
complex structured and unstructured data, which is growing exponentially very fast in time. It …