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Towards Identify Selective Antibacterial Peptides Based on Abstracts Meaning
المؤلفون المشاركون
Sánchez-Escobar, Juan J.
Calixto-Romo, M. Angeles
Barbosa-Santillán, Luis F.
Barbosa-Santillán, Liliana Ibeth
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-05
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
We present an Identify Selective Antibacterial Peptides (ISAP) approach based on abstracts meaning.
Laboratories and researchers have significantly increased the report of their discoveries related to antibacterial peptides in primary publications.
It is important to find antibacterial peptides that have been reported in primary publications because they can produce antibiotics of different generations that attack and destroy the bacteria.
Unfortunately, researchers used heterogeneous forms of natural language to describe their discoveries (sometimes without the sequence of the peptides).
Thus, we propose that learning the words meaning instead of the antibacterial peptides sequence is possible to identify and predict antibacterial peptides reported in the PubMed engine.
The ISAP approach consists of two stages: training and discovering.
ISAP founds that the 35% of the abstracts sample had antibacterial peptides and we tested in the updated Antimicrobial Peptide Database 2 (APD2).
ISAP predicted that 45% of the abstracts had antibacterial peptides.
That is, ISAP found that 810 antibacterial peptides were not classified like that, so they are not reported in APD2.
As a result, this new search tool would complement the APD2 with a set of peptides that are candidates to be antibacterial.
Finally, 20% of the abstracts were not semantic related to APD2.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barbosa-Santillán, Liliana Ibeth& Sánchez-Escobar, Juan J.& Calixto-Romo, M. Angeles& Barbosa-Santillán, Luis F.. 2016. Towards Identify Selective Antibacterial Peptides Based on Abstracts Meaning. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100063
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barbosa-Santillán, Liliana Ibeth…[et al.]. Towards Identify Selective Antibacterial Peptides Based on Abstracts Meaning. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100063
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barbosa-Santillán, Liliana Ibeth& Sánchez-Escobar, Juan J.& Calixto-Romo, M. Angeles& Barbosa-Santillán, Luis F.. Towards Identify Selective Antibacterial Peptides Based on Abstracts Meaning. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100063
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100063
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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