[HTML][HTML] Alleviating anxiety and taming trauma: novel pharmacotherapeutics for anxiety disorders and posttraumatic stress disorder
Psychiatric disorders associated with psychological trauma, stress and anxiety are a highly
prevalent and increasing cause of morbidity worldwide. Current therapeutic approaches …
prevalent and increasing cause of morbidity worldwide. Current therapeutic approaches …
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
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 …
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 …
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
Psychedelics have traditionally been used for spiritual and recreational purposes, but recent
developments in psychotherapy have highlighted their potential as therapeutic agents …
developments in psychotherapy have highlighted their potential as therapeutic agents …
Multinomial classification of NLRP3 inhibitory compounds based on large scale machine learning approaches
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 …
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 …
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 …
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 …
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 …
16% of population globally), no curative treatments are available because of the limited …
Molecular Docking in Drug Designing and Metabolism
The traditional drug discovery methods and analysis of drug target interactions and
physiological responses through biological experiments are expensive and time-consuming …
physiological responses through biological experiments are expensive and time-consuming …