Omics for bioprospecting and drug discovery from bacteria and microalgae

R Maghembe, D Damian, A Makaranga, SS Nyandoro… - Antibiotics, 2020 - mdpi.com
“Omics” represent a combinatorial approach to high-throughput analysis of biological
entities for various purposes. It broadly encompasses genomics, transcriptomics …

A comprehensive review of the advancement in omic technologies in the field of drug discovery and development

M Chauhan, S Kumar, A Biswas… - Letters in Drug …, 2024 - benthamdirect.com
Discovering new drugs is time-consuming and expensive and involves many different tools
from various domains. Numerous omic technologies, such as genomics, transcriptomics …

Unlocking Ethnomedicinal Plant Potentials: Advancing Drug Discovery in the High-Throughput Omics Era

V Saini, A Punia, A Choudhary, Vishal… - … Plants for Drug …, 2024 - Springer
Ethnomedicinal plants have been the source of drugs since the dawn of human civilization.
A number of systems of traditional medicine have evolved from the application of …

Application of chemical biology in target identification and drug discovery

Y Zhu, T **ao, S Lei, F Zhou, MW Wang - Archives of pharmacal research, 2015 - Springer
Drug discovery and development is vital to the well-being of mankind and sustainability of
the pharmaceutical industry. Using chemical biology approaches to discover drug leads has …

Biotechnological Drug Development—The Role of Proteins, Genes, In-Silico, and Stem Cells in Designing Models for Enhanced Drug Discovery

TA Suleiman, AC Francis, A Ibrahim… - Open Access Library …, 2023 - scirp.org
The application of biotechnology in drug discovery has been discovered to be a promising
and resourceful approach for the discovery of novel therapeutic candidates that comes with …

Pharmacoproteomics and Cancer Management

EB Amoafo, E Twum, BO Dankyi, B Quaye… - … : Recent Trends and …, 2024 - Springer
Proteomics is a field that was initiated by Marc Wilkins in 1995 and has become an essential
aspect of various scientific disciplines, particularly in medicine and oncology …

[PDF][PDF] Multi-Model Deep Learning: Transformative Applications in Disaster Mitigation, Drug Discovery, and Autonomous Systems

W DHARMAWAN - 2024 - kanazawa-u.repo.nii.ac.jp
This dissertation explores applying multi-model deep learning to address a triad of real-
world problems covering some aspects of SDGs: disaster mitigation, drug discovery, and …

On solving probabilistic linear diophantine equations

P Kreitzberg, O Serang - Journal of Machine Learning Research, 2021 - jmlr.org
Multiple methods exist for computing marginals involving a linear Diophantine constraint on
random variables. Each of these extant methods has some limitation on the dimension and …

ORIGINAL: Prescription Patterns and Patient Care Practices in Two Tertiary Hospitals in South-South Nigeria: West Afr J Med. 2023 Jan 30; 40 (1): 78-83.

SO Oghuvwu - West Africa Journal of Medicine, 2023 - wajmed.com
Background: Inappropriate use of medicines still characterize all levels of healthcare, with
important public health implications. Available evidence indicate that irrational use of …

A Machine-Learning-Based Algorithm for Peptide Feature Detection from Protein Mass Spectrometry Data

X Zeng - 2021 - uwspace.uwaterloo.ca
Liquid chromatography with tandem mass spectrometry (LC-MS/MS) has been widely used
in proteomics. Two types of data, MS and MS/MS data, are produced in an LC-MS/MS …