[HTML][HTML] Alleviating anxiety and taming trauma: novel pharmacotherapeutics for anxiety disorders and posttraumatic stress disorder

N Singewald, SB Sartori, A Reif, A Holmes - Neuropharmacology, 2023 - Elsevier
Psychiatric disorders associated with psychological trauma, stress and anxiety are a highly
prevalent and increasing cause of morbidity worldwide. Current therapeutic approaches …

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers

P Garg, A Mohanty, S Ramisetty, P Kulkarni… - … et Biophysica Acta (BBA …, 2023 - Elsevier
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …

Machine learning in Alzheimer's disease drug discovery and target identification

C Geng, ZB Wang, Y Tang - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …

Psychedelics for Alzheimer's disease-related dementia: Unveiling therapeutic possibilities and pathways

JK Sinha, A Trisal, S Ghosh, S Gupta, KK Singh… - Ageing Research …, 2024 - Elsevier
Psychedelics have traditionally been used for spiritual and recreational purposes, but recent
developments in psychotherapy have highlighted their potential as therapeutic agents …

Multinomial classification of NLRP3 inhibitory compounds based on large scale machine learning approaches

M Ishfaq, SZA Shah, I Ahmad, Z Rahman - Molecular Diversity, 2023 - Springer
The role of NLRP3 inflammasome in innate immunity is newly recognized. The NLRP3
protein is a family of nucleotide-binding and oligomerization domain-like receptors as well …

In silico drug design strategies for discovering novel tuberculosis therapeutics

CSC Canales, AR Pavan, JL Dos Santos… - Expert Opinion on …, 2024 - Taylor & Francis
Introduction Tuberculosis remains a significant concern in global public health due to its
intricate biology and propensity for developing antibiotic resistance. Discovering new drugs …

AI molecular property prediction for Parkinson's Disease reveals potential repurposing drug candidates based on the increase of the expression of PINK1

J Haneczok, M Delijewski, R Moldzio - Computer Methods and Programs in …, 2023 - Elsevier
Abstract Background and Objective Parkinson's Disease (PD), a common
neurodegenerative disorder and one of the major current challenges in neuroscience and …

Multiplatform-Integrated Identification of Melatonin Targets for a Triad of Psychosocial-Sleep/Circadian-Cardiometabolic Disorders

LA Campos, OC Baltatu, S Senar, R Ghimouz… - International Journal of …, 2023 - mdpi.com
Several psychosocial, sleep/circadian, and cardiometabolic disorders have intricately
interconnected pathologies involving melatonin disruption. Therefore, we hypothesize that …

Feasibility and application of machine learning enabled fast screening of poly-beta-amino-esters for cartilage therapies

S Perni, P Prokopovich - Scientific Reports, 2022 - nature.com
Despite the large prevalence of diseases affecting cartilage (eg knee osteoarthritis affecting
16% of population globally), no curative treatments are available because of the limited …

Molecular Docking in Drug Designing and Metabolism

S Saikia, M Puzari, P Chetia - Industrial Microbiology and Biotechnology …, 2023 - Springer
The traditional drug discovery methods and analysis of drug target interactions and
physiological responses through biological experiments are expensive and time-consuming …