CAJ | 학술논문

解链温度是目前评价DNA序列热力学稳定性的一个主要的参数,目前,生物工程中常用的各种预测方法都存在某些序列的误差偏大的缺点,因此难以满足像DNA计算这种大量DNA序列进行各种生化反应的计算过程的要求.本文以DNA序列的邻近法参数为基础,根据DNA序列热稳定性特点提出了DNA序列的编码方案,并建立了基于特征自组织网络的解链温度的预测模型.计算结果表明,DNA序列的解链温度的误差可以达到±5℃的范围.
해련온도시목전평개DNA서렬열역학은정성적일개주요적삼수,목전,생물공정중상용적각충예측방법도존재모사서렬적오차편대적결점,인차난이만족상DNA계산저충대량DNA서렬진행각충생화반응적계산과정적요구.본문이DNA서렬적린근법삼수위기출,근거DNA서렬열은정성특점제출료DNA서렬적편마방안,병건립료기우특정자조직망락적해련온도적예측모형.계산결과표명,DNA서렬적해련온도적오차가이체도±5℃적범위.
Methods for Prediction of DNA duplex thermodynamics from sequence and DNA concentration are based on the nearest-neighbor (n-n) mode, but sequence dependent interactions in DNA duplexes may extend over distances beyond. In order to calculate Melting Temperature (Tm) in a more reasonable way, we use the SOFM of kohonen neural-networks to extract wild field features from DNA sequence, and a back propagation network is employed to predict Tm of DNA duplexes with these features. This method considers interactions of DNA sequence beyond nearest-neighbor and the precision of the Prediction result is in +5℃ error band.