Results 241 to 250 of about 2,729,950 (336)
QKDTI A quantum kernel based machine learning model for drug target interaction prediction. [PDF]
Pallavi G, Altalbe A, Kumar RP.
europepmc +1 more source
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin +11 more
wiley +1 more source
SP-DTI: subpocket-informed transformer for drug-target interaction prediction. [PDF]
Liu S, Liu Y, Xu H, Xia J, Li SZ.
europepmc +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Correction: Prediction of drug target interaction based on under sampling strategy and random forest algorithm. [PDF]
Chen F +5 more
europepmc +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction. [PDF]
Lian X +11 more
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Accurate and transferable drug-target interaction prediction with DrugLAMP. [PDF]
Luo Z, Wu W, Sun Q, Wang J.
europepmc +1 more source

