Results 111 to 120 of about 1,817,592 (311)

Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management

Molecular Oncology, EarlyView.
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez, Asieh Naderi, Kim‐Tuyen Huynh‐Dam, Vitali Sikirzhytski, Ioulia Chatzistamou, Hippokratis Kiaris   +5 more
wiley   +1 more source

Statistical Dependence of Protein Secondary Structure on Amino Acid Bigrams [PDF]

Chemical Industry and Chemical Engineering Quarterly, 2006
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Miodrag Živković, Saša Malkov, Snežana Zarić, Milena Vujošević Janičić, Jelena Tomašević, Goran Predović, Novica Blažić, Miloš V. Beljanski
doaj  

Targeting carbonic anhydrase IX/XII prevents the anti‐ferroptotic effect of stromal lactic acid in prostate carcinoma

Molecular Oncology, EarlyView.
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella, Giuseppina Comito, Luigi Ippolito, Erica Pranzini, Marta Iozzo, Giulia Gangarossa, Francesca Virgilio, Silvia Bua, Alessio Nocentini, Giada Sandrini, Nicla Lorito, Marina Bacci, Gabriella Nesi, Pietro Spatafora, Sergio Serni, Claudiu T. Supuran, Andrea Morandi, Paola Chiarugi, Elisa Giannoni   +18 more
wiley   +1 more source

The Mathematics of Secondary Structures in Proteins [PDF]

Biophysical Journal, 2020
Magdalena Toda, Bhagya Athukorallage
openaire   +2 more sources

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

Molecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides, Sara Cristobal‐Vargas, Cristina De Ramón, Elizabeta A. Rojas, Irena Misiewicz‐Krzeminska, Isabel Isidro, José Juan Pérez, Bruno Paiva, Noemi Puig, Miguel Alcoceba, María‐Victoria Mateos, Luis A. Corchete, Myriam Cuadrado, Norma C. Gutiérrez   +13 more
wiley   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Deep learning for protein secondary structure prediction: Pre and post-AlphaFold

Computational and Structural Biotechnology Journal, 2022
This paper aims to provide a comprehensive review of the trends and challenges of deep neural networks for protein secondary structure prediction (PSSP). In recent years, deep neural networks have become the primary method for protein secondary structure
Dewi Pramudi Ismi, Reza Pulungan, Afiahayati   +2 more
doaj  

Pericytes change function depending on glioblastoma vicinity: emphasis on immune regulation

Molecular Oncology, EarlyView.
Pericytes alter their transcriptome depending on their proximity to the tumor core. In the tumor core, pericytes display a more active state with higher communication strength but with lower immune activation potential and a shift toward extracellular matrix production.
Carolina Buizza, Robert Carlsson, Coralie Gamper, Gayatri Chitale, Johan Bengzon, Gesine Paul   +5 more
wiley   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source