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Omics for bioprospecting and drug discovery from bacteria and microalgae
“Omics” represent a combinatorial approach to high-throughput analysis of biological
entities for various purposes. It broadly encompasses genomics, transcriptomics …
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 …
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 …
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 …
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
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 …
and resourceful approach for the discovery of novel therapeutic candidates that comes with …
Pharmacoproteomics and Cancer Management
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 …
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 …
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 …
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 …
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 …
in proteomics. Two types of data, MS and MS/MS data, are produced in an LC-MS/MS …