Abstracts Keynote & Plenary

Key words: Amino-Acid Pair Predictability, Differential Equation, Evolution, Fitting, Influenza A
Virus, Nucleoprotein
A Novel Algorithm for Minimum Recombinant Haplotyping on Pedigrees by Zero Recombinant
Block Partition
Haitao Jiang Yun Xu
Yuzhong Zhao Guoliang Chen
Haplotype inference based on pedigree data under the Mendelian law of inheritance and the minimum
recombination principle is imperative for the construction of haplotype maps and the study of disease
genes. But this problem has been proven to be NP-hard, exact algorithms previously known can't be
applied to handle large scale genotype datasets while heuristic algorithms can't gain high accuracy.This
paper presents an algorithm named Zero recombinant block algorithm (ZRBA) based on a new strategy
using zero recombinant blocks (ZRB) as intermediate structure to reconstruct the haplotype
configurations, theoretical analysis shows that thisstrategy can reduce the possible haplotype
configurations exponentially, and following experiments demonstrate that our algorithm runs much
faster than existing exacthaplotyping algorithms with comparable accuracy.
Key words: haplotyping, pedigree, recombination, zero recombinant block.
Four
long-chain acyl-coenzyme A synthetase genes that might be involved in the biosynthesis of lipids
in Brassica napus
Fuge Zhu , Xiaoli Tan*,
Juan Li , Mingyu Wei, Lili Yu
Institute of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu,
212013, P. R. China.
*Corresponding author: Xiaoli Tan.
Institute of Life Sciences, Jiangsu University,
301 Xuefu Rd, Zhenjiang, Jiangsu. 212013, P.R.China
Long chain acyl-coenzyme A synthetases (LACSs) activate free fatty acid to acyl-CoA thioesters, and
play important roles in the biosynthesis and degradation of lipids. In this study, Four cDNAs encode
long chain fatty acyl-CoA synthetase activity has been found in Brassica napus. Sequence analysis
indicated that the four LACSs possessed typical molecular characteristics of LACS. Compared with
low oil content varieties seed, the four genes is strongly expressed in high oil content varieties seeds at
35 days after pollination (DAP). The expression pattern suggested that the four LACSs might be
involved in the biosynthesis of lipids and oil accumulation in rapeseed.
Keywords: Brassica napus, LACS, sequence analysis, RT-PCR
Classification
models of estrogen receptor-β ligands based on PSO-Adaboost-SVM
Zhengjun Cheng, Yuntao Zhang*, Changhong Zhou, Wenjun Zhang, Shibo Gao
Institute of Applied Chemistry, China West Normal University, Nanchong Sichuan 637002,
China
A new QSAR model for the classification of 135 estrogen receptor-β (ERβ) selective ligands has been
developed with adaptive boosting (Adaboost). The selection of variables for each descriptor was
performed with particle swarm optimization (PSO). Among all descriptors in the model, the RDF
descriptor exhibited the highest accuracy in the predictions. On a known compound data set, the
AdaBoost model improved the prediction accuracy of the training set and the test set to 100.0% and
94.3%, up from 98.0% and 91.4% when only SVM was applied.
Keywords: classification, Estrogen receptor-β, RDF descriptor, particle
swarm optimization, adaptive
boosting, SVM, QSAR model, prediction accuracy