Results 91 to 100 of about 257,655 (321)

Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

IEEE Access, 2018
The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure in the laboratory environment is
Burcu Carkli Yavuz, Nilufer Yurtay, Ozhan Ozkan   +2 more
doaj   +1 more source

CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway

BMC Bioinformatics, 2018
Protein secondary structure is the three dimensional form of local segments of proteins and its prediction is an important problem in protein tertiary structure prediction. Developing computational approaches for protein secondary structure prediction is
Jiyun Zhou, Hongpeng Wang, Zhishan Zhao, Ruifeng Xu, Q. Lu   +4 more
semanticscholar   +1 more source

The anticancer effect of the HDAC inhibitor belinostat is enhanced by inhibitors of Bcl‐xL or Mcl‐1 in ovarian cancer

Molecular Oncology, EarlyView.
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine, Sterenn Guillemot, Louis‐Bastien Weiswald, Romane Florent, Edwige Abeilard, Florence Giffard, Emilie Brotin, Mélanie Briand, Enora Dolivet, Laurent Poulain, Marie Villedieu   +10 more
wiley   +1 more source

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

Protein Secondary Structure Prediction Based on Generative Confrontation and Convolutional Neural Network

IEEE Access, 2020
In the field of bioinformatics, the prediction of protein secondary structure is a challenging task, and it is extremely important for determining the structure and function of proteins.
Yawu Zhao, Hualan Zhang, Yihui Liu
doaj   +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

Algorithm for Predicting Protein Secondary Structure

, 2010
Predicting protein structure from amino acid sequence is one of the most important unsolved problems of molecular biology and biophysics.Not only would a successful prediction algorithm be a tremendous advance in the understanding of the biochemical mechanisms of proteins, but, since such an algorithm could conceivably be used to design proteins to ...
Senapati, K. K, Sahoo, G., Bhaumik, D.
openaire   +2 more sources

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

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

NN-PRED: A novel consensus secondary structure prediction program using neural networks

Revista UIS Ingenierías, 2013
In this paper, a new program for protein secondary structure prediction is proposed. The program, which is called NN-Pred, allows multiple sequences to be submitted and it returns predictions from fve secondary structure prediction algorithms.
Oscar Fernando Bedoya Leiva, Eduard Alberto Satizábal Tascón   +1 more
doaj