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Database Commons

a catalog of worldwide biological databases

Database Profile

LAPP

General information

URL: http://life.zsu.edu.cn/LAPP
Full name: Local Alignment Promoter Predictor
Description: The algorithm was able to discriminate between promoter and non-promoter sequences in a test set of baculovirus sequences with prediction specificity and sensitivity superior to that using five other eukaryotic promoter recognition programs available on the Internet. A web server that implements the LAPP with continually updated promoter database is free.
Year founded: 2005
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: China

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Sun Yat-sen University
Address: State Key Laboratory for Biocontrol, School of Life Science, Sun Yat-sen (Zhongshan) University, Guangzhou 510275, PR China
City: Zhongshan
Province/State: Guangdong
Country/Region: China
Contact name (PI/Team): XunzhangWang
Contact email (PI/Helpdesk): wxz@zsu.edu.cn

Publications

15908030
Analysis and prediction of baculovirus promoter sequences. [PMID: 15908030]
Xing K, Deng R, Wang J, Feng J, Huang M, Wang X.

Consensus patterns of baculovirus sequences upstream from the translational initiation sites have been analyzed and a web tool, Local Alignment Promoter Predictor (LAPP), for the prediction of baculovirus promoter sequences has also been developed. Potential consensus sequences, i.e., TCATTGT, TCTTGTA, CTCGTAA, TCCATTT and TCATT plus TCGT in approximately 30 bp spacing context, have been found in baculovirus promoter regions, in addition to well-characterized late and early promoter elements G/T/ATAAG and TATAA, which is accompanied about 30-bp downstream by a transcriptional initiation sequence CAGT or CATT. Promoter prediction is performed by a dynamic programming algorithm based on maximal segment pair measure with scores above some cutoff against each sequence in a refined promoter database. The algorithm was able to discriminate between promoter and non-promoter sequences in a test set of baculovirus sequences with prediction specificity and sensitivity superior to that using five other eukaryotic promoter recognition programs available on the Internet. A web server that implements the LAPP with continually updated promoter database is freely available at http://life.zsu.edu.cn/LAPP/.

Virus Res. 2005:113(1) | 17 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5582/6895 (19.057%)
Metadata:
560/719 (22.253%)
5582
Total Rank
17
Citations
0.85
z-index

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Record metadata

Created on: 2018-02-08
Curated by:
Lin Liu [2022-07-31]
Rabail Raza [2018-12-26]
Qi Wang [2018-02-24]
Lina Ma [2018-02-08]