Conjugated Polymers with Aggregation‐Induced Emission Characteristics for Fluorescence Imaging and Photodynamic TherapyChemMedChem - Tập 16 Số 15 - Trang 2330-2338 - 2021
Lirong Wang, Rong Hu, Anjun Qin, Ben Zhong Tang
AbstractAccurate diagnosis and treatment have been extensively developed in the field of biomedicine, which put forward higher requirements for the development of biomedical materials with high efficiency and selectivity. Among them, conjugated polymers featuring aggregation‐induced emission (AIE) characteristics (AIE conjugated polymers) have stood out in recent y...... hiện toàn bộ
Design and synthesis of novel β‐carboline‐bisindole hybrids as potential anticancer agentsChemMedChem -
Tuan Dang, Nguyễn Thị Thanh Huyền, Ban Van Phuc, Tran Thi Huyen, Tran Thi Hong, Hien Nguyen, Van Ha Nguyen, Minh Tho Nguyen, Tran Quang Hung, Chau Phi Dinh
We are reporting a short and convenient pathway for the synthesis of novel β‐carboline‐bisindole hybrid compounds from relatively cheap and commercially available chemicals such as tryptamine, dialdehydes and indoles. These newly designed compounds can also be prepared in high yields with the tolerance of many functional groups under mild conditions. Notably, these β‐carboline‐bisindole hy...... hiện toàn bộ
Prodrug Strategies in Anticancer ChemotherapyChemMedChem - Tập 3 Số 1 - Trang 20-53 - 2008
Felix Kratz, Ivonne A. Müller, Claudia Ryppa, André Warnecke
AbstractThe majority of clinically approved anticancer drugs are characterized by a narrow therapeutic window that results mainly from a high systemic toxicity of the drugs in combination with an evident lack of tumor selectivity. Besides the development of suitable galenic formulations such as liposomes or micelles, several promising prodrug approaches have been f...... hiện toàn bộ
Modelling Inhalational Anaesthetics Using Bayesian Feature Selection and QSAR Modelling MethodsChemMedChem - Tập 5 Số 8 - Trang 1318-1323 - 2010
David T. Manallack, Frank R. Burden, David A. Winkler
AbstractThe development of robust and predictive QSAR models is highly dependent on the use of molecular descriptors that contain information relevant to the property being modelled. Selection of these relevant features from a large pool of possibilities is difficult to achieve effectively. Modern Bayesian methods provide substantial advantages over co...... hiện toàn bộ
Recent Advances in the Development of Indazole‐based Anticancer AgentsChemMedChem - Tập 13 Số 15 - Trang 1490-1507 - 2018
Jinyun Dong, Qijing Zhang, Zengtao Wang, G. Huang, Shaoshun Li
AbstractCancer is one of the leading causes of human mortality globally; therefore, intensive efforts have been made to seek new active drugs with improved anticancer efficacy. Indazole‐containing derivatives are endowed with a broad range of biological properties, including anti‐inflammatory, antimicrobial, anti‐HIV, antihypertensive, and anticancer activities. In...... hiện toàn bộ
Aromatic Core Extension in the Series of N‐Cyclic Bay‐Substituted Perylene G‐Quadruplex Ligands: Increased Telomere Damage, Antitumor Activity, and Strong Selectivity for Neoplastic over Healthy CellsChemMedChem - Tập 7 Số 12 - Trang 2144-2154 - 2012
Marco Franceschin, Angela Rizzo, Valentina Casagrande, Erica Salvati, Antonello Alvino, Alessandro Altieri, A Ciammaichella, Sara Iachettini, Carlo Leonetti, Giancarlo Ortaggi, Manuela Porru, Armandodoriano Bianco, Annamaria Biroccio
AbstractBased on previous work on both perylene and coronene derivatives as G‐quadruplex binders, a novel chimeric compound was designed: N,N′‐bis[2‐(1‐piperidino)‐ethyl]‐1‐(1‐piperidinyl)‐6‐[2‐(1‐piperidino)‐ethyl]‐benzo[ghi]perylene‐3,4:9,10‐tetracarboxylic diimide (EMICORON), having one piperidinyl group boun...... hiện toàn bộ
Designing Anticancer Peptides by Constructive Machine LearningChemMedChem - Tập 13 Số 13 - Trang 1300-1302 - 2018
Francesca Grisoni, Claudia S. Neuhaus, Gisela Gabernet, Alex T. Müller, Jan A. Hiss, Gisbert Schneider
AbstractConstructive (generative) machine learning enables the automated generation of novel chemical structures without the need for explicit molecular design rules. This study presents the experimental application of such a deep machine learning model to design membranolytic anticancer peptides (ACPs) de novo. A recurrent neural network with long short‐term memor...... hiện toàn bộ