Dongbo Bu

Publication List Details

Period

2003 - 2009

Number

36

Co-Authors

Improving consensus contact prediction via server correlation reduction (2009)

Gao, Xin, Bu, Dongbo, Xu, Jinbo, Li, Ming

Abstract Background Protein inter-residue contacts play a crucial role in the determination and prediction of protein structures. Previous studies on contact prediction indicate that although...

Finding Compact Structural Motifs in Many Proteins (2009)

Jianbo Qian, Shuai Cheng Li, Dongbo Bu, Ming Li, Jinbo Xu

Abstract. Multiple structural alignment is a fundamental problem in computational biology. Compared with sequence alignment, structural alignment is more powerful in detecting the evolutionary...

FragQA: predicting local fragment quality of a sequence-structure alignment (2008)

Xin Gao, Dongbo Bu, Shuai Cheng, Li Jinbo, Xu Ming Li

Although protein structure prediction has made great progress in recent years, a protein model derived from automated prediction methods is subject to various errors. As methods for structure...

TREC-10 Experiments at CAS-ICT: Filtering, Web and QA (2008)

Bin Wang, Hongbo Xu, Zhifeng Yang, Yue Liu, Xueqi Cheng, Dongbo Bu, ...

CAS-ICT took part in the TREC conference for the first time this year. We have participated in three tracks of TREC-10. For adaptive filtering track, we paid more attention to feature selection and...

Fragment-HMM: A new approach to protein structure prediction (2008)

Li, Shuai Cheng, Bu, Dongbo, Xu, Jinbo, Li, Ming

We designed a simple position-specific hidden Markov model to predict protein structure. Our new framework naturally repeats itself to converge to a final target, conglomerating fragment assembly,...

Designing succinct structural alphabets (2008)

Li, Shuai Cheng, Bu, Dongbo, Gao, Xin, Xu, Jinbo, Li, Ming

Motivation: The 3D structure of a protein sequence can be assembled from the substructures corresponding to small segments of this sequence. For each small sequence segment, there are only a few more...

FlexStem: improving predictions of RNA secondary structures with pseudoknots by reducing the search space (2008)

Chen, Xiang, He, Si-Min, Bu, Dongbo, Zhang, Fa, Wang, Zhiyong, Chen, Runsheng, ...

Motivation: RNA secondary structures with pseudoknots are often predicted by minimizing free energy, which is proved to be NP-hard. Due to kinetic reasons the real RNA secondary structure often has...

A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data (2006)

Zhang, Zhuo, Sun, Shiwei, Zhu, Xiaopeng, Chang, Suhua, Liu, Xiaofei, Yu, Chungong, ...

Abstract Background Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass spectra and an...

Organization of the Caenorhabditis elegans small non-coding transcriptome: Genomic features, biogenesis, and expression (2006)

Deng, Wei, Zhu, Xiaopeng, Skogerbø, Geir, Zhao, Yi, Fu, Zhuo, Wang, Yudong, ...

Recent evidence points to considerable transcription occurring in non-protein-coding regions of eukaryote genomes. However, their lack of conservation and demonstrated function have created...

The Genomes of Oryza sativa: A History of Duplications (2005)

Jun Yu, Jun Wang, Wei Lin, Songgang Li, Heng Li, Jun Zhou, ...

Comparative genome sequencing of indica and japonica rice reveals that duplication of genes and genomic regions has played a major part in the evolution of grass genomes.

The Genomes of Oryza sativa: A History of Duplications (2005)

Jun Yu, Jun Wang, Wei Lin, Songgang Li, Heng Li, Jun Zhou, ...

We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested...

R: Noncode: an integrated knowledge database of non-coding rnas (2005)

Changning Liu, Baoyan Bai, Geir Skogerbø, Lun Cai, Wei Deng, Yong Zhang, ...

NONCODE is an integrated knowledge database dedicated to non-coding RNAs (ncRNAs), that is to say, RNAs that function without being translated into proteins. All ncRNAs in NONCODE were filtered...

NONCODE: an integrated knowledge database of non-coding RNAs (2005)

Liu, Changning, Bai, Baoyan, Skogerbø, Geir, Cai, Lun, Deng, Wei, Zhang, Yong, ...

NONCODE is an integrated knowledge database dedicated to non-coding RNAs (ncRNAs), that is to say, RNAs that function without being translated into proteins. All ncRNAs in NONCODE were filtered...

Organization of the Caenorhabditis elegans small non-coding transcriptome: Genomic features, biogenesis, and expression (2005)

Deng, Wei, Zhu, Xiaopeng, Skogerbø, Geir, Zhao, Yi, Fu, Zhuo, Wang, Yudong, ...

Recent evidence points to considerable transcription occurring in non-protein-coding regions of eukaryote genomes. However, their lack of conservation and demonstrated function have created...

Date of origin of the SARS coronavirus strains (2004)

Lu, Hongchao, Zhao, Yi, Zhang, Jingfen, Wang, Yuelan, Li, Wei, Zhu, Xiaopeng, ...

Abstract Background A new respiratory infectious epidemic, severe acute respiratory syndrome (SARS), broke out and spread throughout the world. By now the putative pathogen of SARS has been...

The interactome as a tree--an attempt to visualize the protein-protein interaction network in yeast (2004)

Lu, Hongchao, Zhu, Xiaopeng, Liu, Haifeng, Skogerbø, Geir, Zhang, Jingfen, Zhang, Yong, ...

The refinement and high-throughput of protein interaction detection methods offer us a protein–protein interaction network in yeast. The challenge coming along with the network is to find better...

Topological structure analysis of the protein-protein interaction network in budding yeast (2003)

Bu, Dongbo, Zhao, Yi, Cai, Lun, Xue, Hong, Zhu, Xiaopeng, Lu, Hongchao, ...

Interaction detection methods have led to the discovery of thousands of interactions between proteins, and discerning relevance within large‐scale data sets is important to present‐day...

Topological structure analysis of the protein–protein interaction network in budding yeast

Bu, Dongbo, Zhao, Yi, Cai, Lun, Xue, Hong, Zhu, Xiaopeng, Lu, Hongchao, ...

Interaction detection methods have led to the discovery of thousands of interactions between proteins, and discerning relevance within large-scale data sets is important to present-day biology. Here,...

The interactome as a tree—an attempt to visualize the protein–protein interaction network in yeast

Lu, Hongchao, Zhu, Xiaopeng, Liu, Haifeng, Skogerbø, Geir, Zhang, Jingfen, Zhang, Yong, ...

The refinement and high-throughput of protein interaction detection methods offer us a protein–protein interaction network in yeast. The challenge coming along with the network is to find better...

NONCODE: an integrated knowledge database of non-coding RNAs

Liu, Changning, Bai, Baoyan, Skogerbø, Geir, Cai, Lun, Deng, Wei, Zhang, Yong, ...

NONCODE is an integrated knowledge database dedicated to non-coding RNAs (ncRNAs), that is to say, RNAs that function without being translated into proteins. All ncRNAs in NONCODE were filtered...

The Genomes of Oryza sativa: A History of Duplications

Yu, Jun, Wang, Jun, Lin, Wei, Li, Songgang, Li, Heng, Zhou, Jun, ...

We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested...

Organization of the Caenorhabditis elegans small non-coding transcriptome: Genomic features, biogenesis, and expression

Deng, Wei, Zhu, Xiaopeng, Skogerbø, Geir, Zhao, Yi, Fu, Zhuo, Wang, Yudong, ...

Recent evidence points to considerable transcription occurring in non-protein-coding regions of eukaryote genomes. However, their lack of conservation and demonstrated function have created...

Topological structure analysis of the protein–protein interaction network in budding yeast

Bu, Dongbo, Zhao, Yi, Cai, Lun, Xue, Hong, Zhu, Xiaopeng, Lu, Hongchao, ...

Interaction detection methods have led to the discovery of thousands of interactions between proteins, and discerning relevance within large-scale data sets is important to present-day biology. Here,...

The interactome as a tree—an attempt to visualize the protein–protein interaction network in yeast

Lu, Hongchao, Zhu, Xiaopeng, Liu, Haifeng, Skogerbø, Geir, Zhang, Jingfen, Zhang, Yong, ...

The refinement and high-throughput of protein interaction detection methods offer us a protein–protein interaction network in yeast. The challenge coming along with the network is to find better...

NONCODE: an integrated knowledge database of non-coding RNAs

Liu, Changning, Bai, Baoyan, Skogerbø, Geir, Cai, Lun, Deng, Wei, Zhang, Yong, ...

NONCODE is an integrated knowledge database dedicated to non-coding RNAs (ncRNAs), that is to say, RNAs that function without being translated into proteins. All ncRNAs in NONCODE were filtered...

The Genomes of Oryza sativa: A History of Duplications

Yu, Jun, Wang, Jun, Lin, Wei, Li, Songgang, Li, Heng, Zhou, Jun, ...

We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested...

Organization of the Caenorhabditis elegans small non-coding transcriptome: Genomic features, biogenesis, and expression

Deng, Wei, Zhu, Xiaopeng, Skogerbø, Geir, Zhao, Yi, Fu, Zhuo, Wang, Yudong, ...

Recent evidence points to considerable transcription occurring in non-protein-coding regions of eukaryote genomes. However, their lack of conservation and demonstrated function have created...

Designing succinct structural alphabets

Li, Shuai Cheng, Bu, Dongbo, Gao, Xin, Xu, Jinbo, Li, Ming

Motivation: The 3D structure of a protein sequence can be assembled from the substructures corresponding to small segments of this sequence. For each small sequence segment, there are only a few more...

Fragment-HMM: A new approach to protein structure prediction

Li, Shuai Cheng, Bu, Dongbo, Xu, Jinbo, Li, Ming

We designed a simple position-specific hidden Markov model to predict protein structure. Our new framework naturally repeats itself to converge to a final target, conglomerating fragment assembly,...