نتایج جستجو برای: bioinformatics prediction

تعداد نتایج: 280806  

Journal: :iranian journal of public health 0
a ahmed k minhas namood-e-sahar o aftab f sher khan

background : cockroaches have been recognized as a powerful indoor allergen. cockroach allergy can be a major factor in seri­ous asthma and nasal allergy. bioinformatics tools have been developed to identify potential allergens. the present study was conducted to identify potential allergens in  periplaneta americana (linnaeus). methods : the study focused on the identification of potential all...

Journal: :modares journal of medical sciences: pathobiology 2014
seyed hamid aghaee-bakhtiari ehsan arefian masoud soleimani siamak mirab samiee farshid noorbakhsh

objective: prostate cancer is the fifth most common cancer. in 2012, it was the second leading cause of cancer death for men worldwide. the pi3k/akt pathway plays an essential role in pathogenesis of prostate cancer; the key role of this pathway in cancer progression makes it an attractive target for prostate cancer therapy. micrornas (mirnas) that regulate gene expression have a special abilit...

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

Journal: :modares journal of medical sciences: pathobiology 2015
sadat dokanehiifard bahram mohamad soltani

although more than 98% of the human genome is transcribed, most of these transcripts are not translated into proteins. rather, they are considered as non-coding rnas. micrornas (mirnas) are very short non-coding rnas approximately 22 nucleotides in length which regulate many key processes of cells such as growth, proliferation, differentiation, cell cycle, apoptosis (programmed cell death) and ...

2001
Theodoros Evgeniou Massimiliano Pontil

In this chapter, we use support vector machines (SVMs) to deal with two bioinformatics problems, i.e., cancer diagnosis based on gene expression data and protein secondary structure prediction (PSSP). For the problem of cancer diagnosis, the SVMs that we used achieved highly accurate results with fewer genes compared to previously proposed approaches. For the problem of PSSP, the SVMs achieved ...

2010
D. P. Klose B. A. Wallace Robert W. Janes

SUMMARY The defined secondary structure of proteins method is often considered the gold standard for assignment of secondary structure from three-dimensional coordinates. However, there are alternative methods. '2Struc: The Secondary Structure Server' has been created as a single point of access for eight different secondary structure assignment methods. It has been designed to enable compariso...

Journal: :journal of computer and robotics 0
leila khalatbari department of computer engineering, faculty of electrical, it and computer science, qazvin branch, islamic azad university, qazvin, iran mohammad reza kangavari department of computer engineering, iran university of science and technology, tehran, iran

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

2002
Morihiro Hayashida Nobuhisa Ueda Katsuhisa Horimoto Tatsuya Akutsu

Hidden Markov models [2] (HMMs) have been successfully applied to Bioinformatics such as gene finding, remote homology detection and secondary structure prediction. On the other hand, continuous density HMMs have been widely used in the field of speech recognition. Though continuous density HMMs were not applied to Bioinformatics so far, they may also be useful in Bioinformatics. Currently, we ...

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