Identifying cancer highly-expressed membrane receptors for targeted drug delivery [0.03%]
用于靶向药物输送的癌症高表达膜受体识别
Wei-Chih Huang,Feng-Mao Lin,Tzu-Hao Chang et al.
Wei-Chih Huang et al.
Currently, the accompanying side effects of anti-cancer drugs owing to incorrect delivery to normal tissues should be reduced. We present a database (MRTDD) with identified cancer highly-expressed membrane receptors (CHMRs) which can be use...
Derivative scores from site accessibility and ranking of miRNA target predictions [0.03%]
基于结合位点可接近性派生分数及微小RNA靶基因预测的排序方法
Abu Z M Dayem Ullah,Sudhakar Sahoo,Kathleen Steinhöfel et al.
Abu Z M Dayem Ullah et al.
In the present study, we define derivative scoring functions from PITA and STarMir predictions. The scoring functions are evaluated for up to five selected miRNAs with a relatively large number of validated targets reported by TarBase and m...
A network-based maximum link approach towards MS identifies potentially important roles for undetected ARRB1/2 and ACTB in liver cancer progression [0.03%]
基于网络的MS识别的最大链接方法确定未检测到的ARRB1/2和ACTB在肝癌进展中可能的重要作用
Wilson Wen Bin Goh,Yie Hou Lee,Zubaidah M Ramdzan et al.
Wilson Wen Bin Goh et al.
Hepatocellular Carcinoma (HCC) ranks among the deadliest of cancers and has a complex etiology. Proteomics analysis using iTRAQ provides a direct way to analyse perturbations in protein expression during HCC progression from early- to late-...
Rasiah Loganantharaj
Rasiah Loganantharaj
Discovering best candidates for Hepatocellular Carcinoma (HCC) by in-silico techniques and tools [0.03%]
利用计算技术发现最佳肝细胞癌(HCC)候选指标
Mai S Mabrouk
Mai S Mabrouk
Protein-ligand interaction plays an important role in structural-based drug designing. The aim of this work is to select new possible candidates for HCC by in-silico drug design using bioinformatics techniques and tool. Essential proteins w...
New encoded single-indicator sequences based on physico-chemical parameters for efficient exon identification [0.03%]
基于理化参数的高效外显子识别的新编码单指标序列方法研究
J K Meher,P K Meher,G N Dash et al.
J K Meher et al.
The first step in gene identification problem based on genomic signal processing is to convert character strings into numerical sequences. These numerical sequences are then analysed spectrally or using digital filtering techniques for the ...
Smita Kolhe,Khushali Parikh
Smita Kolhe
Cancer nanotechnology is an interdisciplinary area with broad applications. The basic rationale is that nanometre-sized particles, when linked with tumour-targeting ligands, can be used to target tumour antigens. It is difficult to target t...
William L Duax,Robert Huether,David Dziak
William L Duax
Search vectors composed of Gly, Ala, Arg, and Pro (GARP) residues retrieve 98% of each of the ribosomal proteins in prokaryotic species with no false hits. Different combinations of G, A, R and P and insertions differentiate each ribosomal ...
Computational analysis of adaptive antigenic mutations of the human influenza hemagglutinin for vaccine strain selection [0.03%]
计算分析人类流感血凝素适应性抗原变异用于疫苗株系选择
Jared D Rickert,Todd A Herpy,Haizhen Zhong et al.
Jared D Rickert et al.
The adaptive evolution of the hemagglutinin (HA) segment of the human influenza H1N1 and H3N2 viruses is not well understood due to antigenic mutations under selection pressures. This paper identified significant antigenic selection sites a...
David A McClellan
David A McClellan
Amino acid property methods have repeatedly proven more sensitive than nucleotide-based methods, especially to the subtle influences of selection on Single Nucleotide Polymorphisms (SNPs). The purpose of this study is to evaluate the effect...