Results 111 to 120 of about 1,170,066 (317)

A Novel Approach for Protein Structure Prediction [PDF]

arXiv, 2012
The idea of this project is to study the protein structure and sequence relationship using the hidden markov model and artificial neural network. In this context we have assumed two hidden markov models. In first model we have taken protein secondary structures as hidden and protein sequences as observed. In second model we have taken protein sequences
arxiv  

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Complete Genome Characterization of the 2017 Dengue Outbreak in Xishuangbanna, a Border City of China, Burma and Laos

Frontiers in Cellular and Infection Microbiology, 2018
A dengue outbreak abruptly occurred at the border of China, Myanmar, and Laos in June 2017. By November 3rd 2017, 1184 infected individuals were confirmed as NS1-positivein Xishuangbanna, a city located at the border.
Songjiao Wen, Songjiao Wen, Songjiao Wen, Dehong Ma, Yao Lin, Yao Lin, Yao Lin, Lihua Li, Shan Hong, Shan Hong, Shan Hong, Xiaoman Li, Xiaodan Wang, Xiaodan Wang, Xiaodan Wang, Juemin Xi, Juemin Xi, Juemin Xi, Lijuan Qiu, Yue Pan, Yue Pan, Yue Pan, Junying Chen, Junying Chen, Junying Chen, Xiyun Shan, Qiangming Sun, Qiangming Sun, Qiangming Sun   +28 more
doaj   +1 more source

Protein Folding in the Hexagonal Prism Lattice with Diagonals [PDF]

arXiv, 2014
Predicting protein secondary structure using lattice model is one of the most studied computational problem in bioinformatics. Here secondary structure or three dimensional structure of protein is predicted from its amino acid sequence. Secondary structure refers to local sub-structures of protein.
arxiv  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks [PDF]

arXiv, 2017
Motivation: Protein secondary structure prediction can provide important information for protein 3D structure prediction and protein functions. Deep learning, which has been successfully applied to various research fields such as image classification and voice recognition, provides a new opportunity to significantly improve the secondary structure ...
arxiv  

Protein Secondary Structure Prediction

, 2008
{"references": ["Cuff, J. A. and Barton, G.J. \"Evaluation and improvement of multiple\nsequence methods for protein secondary structure prediction. Proteins,\n34, 1999, pp. 508-519.", "Cuff, J.A. and Barton G.J. \"Application of multiple sequence alignment\nprofiles to improve protein secondary structure prediction\" Proteins, 40,\n2000, pp. 502-511.",
Manpreet Singh, Parvinder Singh Sandhu, Reet Kamal Kaur   +2 more
openaire   +2 more sources

The Secondary Structure of Proteins in the Thylakoid Membrane

Zeitschrift für Naturforschung C, 1973
With reference spectra derived from proteins of known structure (CHEN, YANG, and MARTINEZ, Biochemistry 11, 4120 [1972]) a better approximation of the circular dichroism spectrum of fragments of the thylakoid membrane is achieved, than by the use of polylysine as reference substance.
Wilhelm Menke, Rolf-Dieter Hirtz
openaire   +3 more sources

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

Molecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair, Philip König, Milena Mijović, Jessica Kalla, Anil Baskan, Loan Tran, Kristina Draganić, Pedro Morata Saldaña, Carlos Uziel Pérez Malla, Janette Pfneissl, Andreas Tiefenbacher, Julijan Kabiljo, Velina S. Atanasova, Lisa Wozelka‐Oltjan, Leonhard Müllauer, Michael Bergmann, Raheleh Sheibani‐Tezerji, Gerda Egger   +17 more
wiley   +1 more source

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

, 2016
Protein secondary structure prediction is an important problem in bioinformatics. Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated ...
Li, Zhen, Yu, Yizhou
core