A7LXT7 AF NFT

Xyloglucan-specific endo-beta-1,4-glucanase BoGH5A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2gpj7vodoa3steuzkk2h7p6txp6irk6ldyjmbkm6nopotjffqyu/metadata.json
IPFS of structure file: 
bafybeieqtmrrglhgt6qghulp5lgklxlwec5mxc7zguyv4xayzotitfvn5q/AF-A7LXT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c297721397D422968C4af780D25a02621A2c74f
First NFT owner address (bech32): 
genesis1ds5hwgfe04pzj6xy4auq6fdqycs69360h8lqyt
Current NFT ID #42651 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42651
Accession (UniProt):
A7LXT7
Name::
Xyloglucan-specific endo-beta-1,4-glucanase BoGH5A
Experimental Method:
Predicted structure
Sequence source:
Bacteroides ovatus (strain ATCC 8483 / DSM 1896 / JCM 5824 / BCRC 10623 / CCUG 4943 / NCTC 11153)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT A7LXT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7LXT7|BGH5A_BACO1 Xyloglucan-specific endo-beta-1,4-glucanase BoGH5A OS=Bacteroides ovatus (strain ATCC 8483 / DSM 1896 / JCM 5824 / BCRC 10623 / CCUG 4943 / NCTC 11153) OX=411476 GN=BACOVA_02653 PE=1 SV=1 MEKQSFSDGLFSPLGIKRVIFMLVLLTTSFISCSNSDEKGGSLEVAQEYRNLEFDARGSRQTIQIDGPAEWHISTSESWCKSSHTIGEGKQYVNITVEANDTQKERTATVTVSASGAPDIIINVKQSLYSVPAYDEYIAPDNTGMRDLTSMQLSALMKAGVNVGNTFEAVIVGNDGSLSGDETCWGNPTPNKVLFEGIKAAGFDVVRIPVAYSHQFEDAATYKIKSAWMDKVEAAVKAALDAGLYVIINIHWEGGWLNHPVDANKEALDERLEAMWKQIALRFRDYDDRLLFAGTNEVNNDDANGAQPTEENYRVQNGFNQVFVNTVRATGGRNHYRHLIVQAYNTDVAKAVAHFTMPLDIVQNRIFLECHYYDPYDFTIMPNDENFKSQWGAAFAGGDVSATGQEGDIEATLSSLNVFINNNVPVIIGEYGPTLRDQLTGEALENHLKSRNDYIEYVVKTCVKNKLVPLYWDAGYTEKLFDRTTGQPHNAASIAAIMKGLN