Results 251 to 260 of about 9,720,197 (382)

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

Current methods of gene prediction, their strengths and weaknesses [PDF]

, 2002
Catherine Mathé, Marie‐France Sagot, Thomas Schiex, Pierre Rouzé   +3 more
openalex   +1 more source

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

A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction. [PDF]

BMC Biol
Yan W, Yu F, Tan L, Mengshan L, Xiaojun X, Weihong Z, Sheng S, Jun W, Fu-An W.   +8 more
europepmc   +1 more source

GeneMark-HM: improving gene prediction in DNA sequences of human microbiome. [PDF]

NAR Genom Bioinform, 2021
Lomsadze A, Bonny C, Strozzi F, Borodovsky M.   +3 more
europepmc   +1 more source

Evolutionary algorithms for finding optimal gene sets in microarray prediction [PDF]

, 2002
J. M. Deutsch
openalex   +1 more source

The critical role of DNA damage‐inducible transcript 4 (DDIT4) in stemness character of leukemia cells and leukemia initiation

Molecular Oncology, EarlyView.
Stemness properties, including quiescence, self‐renewal, and chemoresistance, are closely associated with leukemia relapse. Here, we demonstrate that DNA damage‐inducible transcript 4 (DDIT4) is induced in the hypoxic bone marrow niche and is essential for maintaining the stemness of AML1‐ETO9a leukemia cells.
Yishuang Li, Zhijie Cao, Haiyan Xing, Zhenya Xue, Wenbing Liu, Jiayuan Chen, Yihan Mei, Runxia Gu, Hui Wei, Shaowei Qiu, Min Wang, Qing Rao, Jianxiang Wang   +12 more
wiley   +1 more source

Tiberius: end-to-end deep learning with an HMM for gene prediction. [PDF]

Bioinformatics
Gabriel L, Becker F, Hoff KJ, Stanke M.
europepmc   +1 more source

MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction. [PDF]

Genes (Basel), 2021
Petti M, Farina L, Francone F, Lucidi S, Macali A, Palagi L, De Santis M.   +6 more
europepmc   +1 more source

Prediction of temporal gene expression [PDF]

, 2002
Edda Klipp, Reinhart Heinrich, Hermann‐Georg Holzhütter   +2 more
openalex   +1 more source