| pubmed-article:19925685 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C0033618 | lld:lifeskim |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C1510464 | lld:lifeskim |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C0005456 | lld:lifeskim |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C2699740 | lld:lifeskim |
| pubmed-article:19925685 | lifeskim:mentions | umls-concept:C0205262 | lld:lifeskim |
| pubmed-article:19925685 | pubmed:dateCreated | 2009-12-1 | lld:pubmed |
| pubmed-article:19925685 | pubmed:abstractText | Predicting the binding sites between two interacting proteins provides important clues to the function of a protein. Recent research on protein binding site prediction has been mainly based on widely known machine learning techniques, such as artificial neural networks, support vector machines, conditional random field, etc. However, the prediction performance is still too low to be used in practice. It is necessary to explore new algorithms, theories and features to further improve the performance. | lld:pubmed |
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| pubmed-article:19925685 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19925685 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19925685 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19925685 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19925685 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19925685 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:RAYT WTW | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:LiuBinB | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:WangXuanX | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:XiaolongWangW | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:DongQiwenQ | lld:pubmed |
| pubmed-article:19925685 | pubmed:author | pubmed-author:TangBuzhouB | lld:pubmed |
| pubmed-article:19925685 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19925685 | pubmed:volume | 10 | lld:pubmed |
| pubmed-article:19925685 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19925685 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19925685 | pubmed:pagination | 381 | lld:pubmed |
| pubmed-article:19925685 | pubmed:dateRevised | 2010-9-27 | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:meshHeading | pubmed-meshheading:19925685... | lld:pubmed |
| pubmed-article:19925685 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19925685 | pubmed:articleTitle | Prediction of protein binding sites in protein structures using hidden Markov support vector machine. | lld:pubmed |
| pubmed-article:19925685 | pubmed:affiliation | Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, PR China. bliu@insun.hit.edu.cn | lld:pubmed |
| pubmed-article:19925685 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19925685 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:19925685 | lld:pubmed |
