Perturbation-Theory Machine Learning for Multi-Target Drug Discovery in Modern Anticancer Research
Cancers constitute a group of biological complex diseases, which are associated with great prevalence and mortality. These medical conditions are very difficult to tackle due to their multi-factorial nature, which includes their ability to evade the ...
Valeria V. Kleandrova +2 more
doaj +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley +1 more source
Discovery of novel TMPRSS2 inhibitors for COVID-19 using in silico fragment-based drug design, molecular docking, molecular dynamics, and quantum mechanics studies. [PDF]
Alzain AA, Elbadwi FA, Alsamani FO.
europepmc +1 more source
DIY a Molecule: Generative Models in Chemistry
This column introduces generative artificial intelligence and its application to molecular design. We contrast generative models with predictive models that most chemists have already encountered, build up the intuition behind conditional generation and ...
Magdalena Lederbauer
doaj +1 more source
Objective Mycophenolate mofetil (MMF) use in limited cutaneous systemic sclerosis (lcSSc) is relatively uncommon because of the lower fibrotic burden and the predominance of vascular complications. In vitro observations and clinical data from transplanted patients suggest a protective effect of MMF on endothelial function.
Enrico De Lorenzis +77 more
wiley +1 more source
Identification of DNA Methyltransferase-1 Inhibitor for Breast Cancer Therapy through Computational Fragment-Based Drug Design. [PDF]
Alkaff AH +4 more
europepmc +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel +8 more
wiley +1 more source
Newly designed compounds from scaffolds of known actives as inhibitors of survivin: computational analysis from the perspective of fragment-based drug design. [PDF]
Elekofehinti OO +4 more
europepmc +1 more source

