[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …
designing, and testing new drugs to address critical medical needs. In recent years, machine …
Explainable biology for improved therapies in precision medicine: AI is not enough
I Jurisica - Best Practice & Research Clinical Rheumatology, 2024 - Elsevier
Technological advances and high-throughput bio-chemical assays are rapidly changing
ways how we formulate and test biological hypotheses, and how we treat patients. Most …
ways how we formulate and test biological hypotheses, and how we treat patients. Most …
[HTML][HTML] Artificial intelligence as a tool in drug discovery and development
M Kokudeva, M Vichev, E Naseva… - World Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
The rapidly advancing field of artificial intelligence (AI) has garnered substantial attention for
its potential application in drug discovery and development. This opinion review critically …
its potential application in drug discovery and development. This opinion review critically …
In Silico Characterization of Natural Products in Plants
The study of natural products in plants has been revolutionized by “in silico” approaches,
combining advanced computational methods with traditional botanical study. This …
combining advanced computational methods with traditional botanical study. This …
Intrapartum fever prediction for pregnant woman from microbial data
A Hossain, MS Morshed, FB Ashraf… - … on Advancement in …, 2024 - ieeexplore.ieee.org
The usage of deep learning in microbial data has come a long way since its early days. For
fever detection during pregnancy, this paper collects microorganism data from vaginal …
fever detection during pregnancy, this paper collects microorganism data from vaginal …
Predicting Bioactivity Using Chemical Fingerprint Models & Cell Morphology with Deep Neural Networks
J Joseph, SM Crasta, SE Dsouza… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a novel approach to enhance the bioactivity prediction of drug
compounds by integrating chemical fingerprint models with cell morphology data through …
compounds by integrating chemical fingerprint models with cell morphology data through …
Novel Nicotintaldehyde Derivatives via Pd (0) Catalyzed Suzuki Coupling Approach; Characterization, DFT and Molecular Docking and evaluation of anti-antibiofilm …
A Ullah, A Amin, U Aiman, SO Rab, FU Rehman… - 2024 - researchsquare.com
A very efficient Pd-built catalytic system for the Suzuki Miyaura SM coupling of
nicotinaldehydes were developed under gentle reaction conditions. Analytical techniques …
nicotinaldehydes were developed under gentle reaction conditions. Analytical techniques …
Development of a Computational Drug Discovery Pipeline for RNA Inhibitors: A Case Study with Targeting microRNA-21
KKJ Gunasinghe - 2024 - figshare.swinburne.edu.au
RNAs, particularly non-coding RNA types are known to be involved in several cancers
hijacking several cellular pathways. Drug discovery efforts in finding therapies against these …
hijacking several cellular pathways. Drug discovery efforts in finding therapies against these …
[PDF][PDF] Journal of Population Therapeutics & Clinical Pharmacology
The novel coronavirus disease or Covid-19 is a global pandemic caused by the SARS-CoV-
2 virus originated from Wuhan, China in December 2019. A rapidly spreading, contagious …
2 virus originated from Wuhan, China in December 2019. A rapidly spreading, contagious …