Results 51 to 60 of about 1,396,646 (189)

Dydrogesterone and Letrozole Combination for the Treatment of Endometriosis: A Mechanism-Based Therapeutic Approach

Obstetrics and Gynecology International
Endometriosis is a complex, estrogen-dependent disease with limited effective treatments that often focus on symptom management rather than addressing the underlying pathology.
Santosh Kumar Rai, Rakesh Kumar, Mohd Imran Khan, Anil Kumar   +3 more
doaj   +1 more source

Antiplasmodial activity of the natural product compounds alstonine and himbeline

International Journal for Parasitology: Drugs and Drug Resistance, 2021
Malaria, caused by Plasmodium parasites, continues to be a devastating global health issue. Despite a decline in malaria related deaths over the last decade, overall progress has plateaued.
M.S.J. Arnold, J.R. Macdonald, R.J. Quinn, T.S. Skinner-Adams, K.T. Andrews, G.M. Fisher   +5 more
doaj   +1 more source

Genetic programming in data mining for drug discovery [PDF]

, 2004
Genetic programming (GP) is used to extract from rat oral bioavailability (OB) measurements simple, interpretable and predictive QSAR models which both generalise to rats and to marketed drugs in humans. Receiver Operating Characteristics (ROC) curves
Barrett, S.J., Langdon, W.B.
core   +2 more sources

A network inference method for large-scale unsupervised identification of novel drug-drug interactions [PDF]

, 2013
Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others.
Guimera, Roger, Sales-Pardo, Marta
core   +4 more sources

Dual-targeted bacterial outer membrane vesicles enhance glioblastoma immunotherapy by regulating tumor microenvironment and inducing IFN-γ-mediated ferroptosis

Journal of Nanobiotechnology
Glioblastoma (GBM) immunotherapy is limited by the blood-brain barrier (BBB) and the tumor immune resistance. Here, we develop an engineered bacterial outer membrane vesicle (OMV) through safe and straightforward genetic modification of Escherichia coli,
Chen Chen, Xiaojing Zhu, Zefeng Song, Yutong Xing, Wenrui Jin, Fan Li, Pir Tariq Shah, Siqi Song, Haoran Geng, Kai Xu, Hong Wang, Zhenyong Wu   +11 more
doaj   +1 more source

Fragments and hot spots in drug discovery [PDF]

, 2015
R01 GM064700 - NIGMS NIH HHSPublished ...
Kozakov, Dima, Vajda, Sandor, Whitty, Adrian   +2 more
core   +2 more sources

Creating tissue on chip constructs in microtitre plates for drug discovery [PDF]

, 2018
We report upon a novel coplanar dielectrophoresis (DEP) based cell patterning system for generating transferrable hepatic cell constructs, resembling a liver-lobule, in culture.
Cooper, J.M., Macdonald, N.P., Menachery, A., Reboud, J.   +3 more
core   +2 more sources

QSPRpred: a Flexible Open-Source Quantitative Structure-Property Relationship Modelling Tool

Journal of Cheminformatics
Building reliable and robust quantitative structure–property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated.
Helle W. van den Maagdenberg, Martin Šícho, David Alencar Araripe, Sohvi Luukkonen, Linde Schoenmaker, Michiel Jespers, Olivier J. M. Béquignon, Marina Gorostiola González, Remco L. van den Broek, Andrius Bernatavicius, J. G. Coen van Hasselt, Piet. H. van der Graaf, Gerard J. P. van Westen   +12 more
doaj   +1 more source

EB1010, a putative Christensenellaceae-derived microbial peptide, exhibits anti-inflammatory activity and therapeutic potential in ulcerative colitis

Gut Microbes
The gut microbiota plays a pivotal role in modulating the immune system, fostering immune tolerance, and defending against pathogens. Among its bioactive products, microbiota-derived peptides hold therapeutic promise for inflammatory diseases.
Maria L. Orsini Delgado, Camille Baudesson de Chanville, Hélène Pfister, Laureen Bardouillet, William Farin, Philippe Rinaudo, Jessica Quessel, Francesco Strozzi, Hélène Pereira, Marc Maresca, Cendrine Nicoletti, Eric Di Pasquale, Camille Mailhac, Valentine Thomas, Stephanie Blum, Gregoire Chevalier, Hélène Toussaint, Souphalone Luangsay, Christophe Bonny, Laurent Chene, Antonietta Cultrone   +20 more
doaj   +1 more source

Ligand-based virtual screening using binary kernel discrimination [PDF]

, 2005
This paper discusses the use of a machine-learning technique called binary kernel discrimination (BKD) for virtual screening in drug- and pesticide-discovery programmes.
Beining Chen, Bender A, Bender A, Chido Mpanhanga, David J. Wilton, Harper G, Hert J, Holliday JD, Jérôme Hert, Klebe G, Peter Willett, Robert F. Harrison, Shemetulskis NE, Willett P, Wilton DJ   +14 more
core   +1 more source