Results 111 to 120 of about 669,188 (305)

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

Interpretation of chemical reaction yields with graph neural additive network

Machine Learning: Science and Technology
Prediction of chemical yields is crucial for exploring untapped chemical reactions and optimizing synthetic pathways for targeted compounds. Recently, graph neural networks have proven successful in achieving high predictive accuracy.
Youngchun Kwon, Yongsik Jung, Youn-Suk Choi, Seokho Kang   +3 more
doaj   +1 more source

Rule-based spatial modeling with diffusing, geometrically constrained molecules

BMC Bioinformatics, 2010
Background We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems.
Lohel Maiko, Lenser Thorsten, Ibrahim Bashar, Gruenert Gerd, Hinze Thomas, Dittrich Peter   +5 more
doaj   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Artificial Intelligence in Numerical Modeling of Silver Nanoparticles Prepared in Montmorillonite Interlayer Space

Journal of Chemistry, 2013
Artificial neural network (ANN) models have the capacity to eliminate the need for expensive experimental investigation in various areas of manufacturing processes, including the casting methods.
Parvaneh Shabanzadeh, Norazak Senu, Kamyar Shameli, Maryam Mohaghegh Tabar   +3 more
doaj   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning

Mathematics, 2019
Machine learning has attracted extensive interest in the process engineering field, due to the capability of modeling complex nonlinear process behavior. This work presents a method for combining neural network models with first-principles models in real-
Zhihao Zhang, Zhe Wu, David Rincon, Panagiotis D. Christofides   +3 more
doaj   +1 more source

Chemical evolution of turbulent protoplanetary disks and the Solar nebula

, 2011
This is the second paper in a series where we study the influence of transport processes on the chemical evolution of protoplanetary disks. Our analysis is based on a flared alpha-model of the DM Tau system, coupled to a large gas-grain chemical network.
Aikawa, Aikawa, Aikawa, Aikawa, Aikawa, Andrews, Bauer, Bergin, Bergin, Bethell, Biver, Bockelée-Morvan, Boss, Bradley, Brownlee, Calvet, Cant, Cazaux, Chapillon, Crabtree, D'Alessio, d'Hendecourt, D. Semenov, D. Wiebe, Dickens, Duschl, Dutrey, Dutrey, Dutrey, Finocchi, Fogel, Fukagawa, Gail, Garrod, Glassgold, Glassgold, Glassgold, Glassgold, Gorti, Gorti, Greenberg, Greenberg, Harada, Hasegawa, Heinzeller, Henning, Hersant, Hirose, Hughes, Juhász, Jørgensen, Kalenskii, Kamp, Katz, Kim, Lahuis, Lee, Lee, Lee, Leger, Lynden-Bell, Mazzitelli, Meijerink, Najita, Najita, Pagani, Pascucci, Perez-Becker, Pierce, Pontoppidan, Pontoppidan, Pontoppidan, Prinn, Qi, Qi, Sakai, Salyk, Salyk, Sarrasin, Savin, Schräpler, Semenov, Semenov, Shakura, Shalabiea, Simon, Terada, Turner, Turner, Vasyunin, Vasyunin, Vasyunin, Wakelam, Wakelam, Walsh, Willacy, Willacy, Wolf, Wooden, Wooden, Woods, Woods, Zasowski, Öberg   +103 more
core   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source