Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD)

JW Lee, MA Maria-Solano, TNL Vu… - Biochemical Society …, 2022 - portlandpress.com
There have been numerous advances in the development of computational and statistical
methods and applications of big data and artificial intelligence (AI) techniques for computer …

Advances, opportunities, and challenges in methods for interrogating the structure activity relationships of natural products

CMF Ancajas, AS Oyedele, CM Butt… - Natural Product …, 2024 - pubs.rsc.org
Time span in literature: 1985-early 2024Natural products play a key role in drug discovery,
both as a direct source of drugs and as a starting point for the development of synthetic …

[HTML][HTML] A recurrent neural network model to predict blood–brain barrier permeability

S Alsenan, I Al-Turaiki, A Hafez - Computational Biology and Chemistry, 2020 - Elsevier
The rapid development of computational methods and the increasing volume of chemical
and biological data have contributed to an immense growth in chemical research. This field …

Machine learning driven web-based app platform for the discovery of monoamine oxidase B inhibitors

S Kumar, R Bhowmik, JM Oh, MA Abdelgawad… - Scientific Reports, 2024 - nature.com
Monoamine oxidases (MAOs), specifically MAO-A and MAO-B, play important roles in the
breakdown of monoamine neurotransmitters. Therefore, MAO inhibitors are crucial for …

Solvation parameter model: Tutorial on its application to separation systems for neutral compounds

CF Poole - Journal of Chromatography A, 2021 - Elsevier
The solvation parameter model affords a useful tool to model distribution properties of
neutral compounds in biphasic separation systems. Common applications include column …

Exploring innovative strategies for identifying anti-breast cancer compounds by integrating 2D/3D-QSAR, molecular docking analyses, ADMET predictions, molecular …

S El Rhabori, M Alaqarbeh, YEL Allouche… - Journal of Molecular …, 2024 - Elsevier
Breast cancer is a crucial global health issue, representing the most frequent cancer and a
major cause of cancer-related mortality of women. The difficulty of treating this disease is …

Insights on features' contribution to desalination dynamics and capacity of capacitive deionization through machine learning study

F Saffarimiandoab, R Mattesini, W Fu, EE Kuruoglu… - Desalination, 2021 - Elsevier
Parameter optimization in designing a rational capacitive deionization (CDI) process is
usually performed to achieve both high electrosorption capacity and speed. This …

Determination of physicochemical properties of ionic liquids by gas chromatography

CF Poole, SN Atapattu - Journal of Chromatography A, 2021 - Elsevier
Over the years room temperature ionic liquids have gained attention as solvents with
favorable environmental and technical features. Both chromatographic and conventional …

Overview of cocaine identification by vibrational spectroscopy and chemometrics

DK John, K dos Santos Souza, MF Ferrão - Forensic Science International, 2023 - Elsevier
The use of non-destructive forensic methods for cocaine identification is of outstanding
importance, given the amount of samples seized. Techniques such as ATR-FTIR, Raman …

[HTML][HTML] A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals

K Acharya, D Werner, J Dolfing, M Barycki, P Meynet… - Water research, 2019 - Elsevier
The objective of this work was to develop a QSBR model for the prioritization of organic
pollutants based on biodegradation rates from a database containing globally harmonized …