DeepMSA2 result for job DMSA24

[Click result.zip to download all results on this page]

User Input

>protein-A (148 residues)
ASNQGRIFLSHLRRENIYRTPTQRPLSLKVAEEGEGVRLKEMEEKALGDGALGILRPQSL
GLPEDYTGVVQVRGELADPEGNVYAGLKGTVIVDPRAKEDFLNLNDLYRGDTVVDGKKYT
KEEVDALIREKLKTGALQLNLGIHRVST

User Configuration

MSA generation pipeline: DeepMSA2 with Uniclust30, Uniref90, BFD, MGnify and IMG/M
protein type: monomer

Final Multiple Sequence Alignment (MSA)

Alignment depth: Nf=0.328798, number of sequences=4

Download multiple sequence alignment in aln format.

Download multiple sequence alignment in a3m format.

MSAs Generated From Individual Pipelines

No. of MSA	MSA	pLDDT	A3M	ALN
1	q3JGI	0.682	q3JGI.a3m	q3JGI.aln
2	DeepJGI.hms	0.5	DeepJGI.hms.a3m	DeepJGI.hms.aln
3	qMSA	0.492	qMSA.a3m	qMSA.aln
4	DeepMSA.hhb	0.372	DeepMSA.hhb.a3m	DeepMSA.hhb.aln

Reference:

Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, P. Lydia Freddolino, Yang Zhang. Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature Methods (2024) [back to server]