Results 171 to 180 of about 4,091,521 (342)

Evaluation of the Key Structural Features of Various Butyrylcholinesterase Inhibitors Using Simple Molecular Descriptors. [PDF]

Molecules, 2022
Miličević A, Šinko G.
europepmc   +1 more source

Genome scale enzyme–metabolite and drug–target interaction predictions using the signature molecular descriptor [PDF]

, 2007
Jean‐Loup Faulon, Milind Misra, Shawn Martin, Ken Sale, Rajat Sapra   +4 more
openalex   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Molecular interaction fields based descriptors to interpret and compare chromatographic indexes

, 2012
Giuseppe Ermondi, Giulia Caron
openalex   +2 more sources

Sigma profiles in deep learning: towards a universal molecular descriptor

, 2022
Dinis O. Abranches, Yong Zhang, Edward J. Maginn, Yamil J. Colón   +3 more
openalex   +2 more sources

On Computation of Entropy Measures and Molecular Descriptors for Isomeric Natural Polymers [PDF]

, 2022
Shazia Manzoor, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Samuel Asefa Fufa   +3 more
openalex   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

In silico prediction of siRNA ionizable-lipid nanoparticles In vivo efficacy: Machine learning modeling based on formulation and molecular descriptors. [PDF]

Front Mol Biosci, 2022
Metwally AA, Nayel AA, Hathout RM.
europepmc   +1 more source

Effect of Selection of Molecular Descriptors on the Prediction of Blood−Brain Barrier Penetrating and Nonpenetrating Agents by Statistical Learning Methods

, 2005
Hu Li, Chun Wei Yap, Choong Yong Ung, Ying Xue, Zhi Cao, Yu Chen   +5 more
openalex   +2 more sources

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source