B2UQL7 AF NFT

Glycosyl hydrolase family 109 protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxxz4pod7qlbgmm2wrmltg5a4uvsgyi5zfumvlk3ibi2emmlir2a/metadata.json
IPFS of structure file: 
bafybeibd635qjaenhekiekjov452yq6uj255hoqqbt3d3imwfxygonxajm/AF-B2UQL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE498A46d2e1B852A3eB35a100fb5E0a679D487dA
First NFT owner address (bech32): 
genesis1ujv2gmfwrwzj504ntggqld0q5euafp76fh9qe7
Current NFT ID #138818 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138818
Accession (UniProt):
B2UQL7
Name::
Glycosyl hydrolase family 109 protein 2
Experimental Method:
Predicted structure
Sequence source:
Akkermansia muciniphila (strain ATCC BAA-835 / DSM 22959 / JCM 33894 / BCRC 81048 / CCUG 64013 / CIP 107961 / Muc)

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 B2UQL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2UQL7|G1092_AKKM8 Glycosyl hydrolase family 109 protein 2 OS=Akkermansia muciniphila (strain ATCC BAA-835 / DSM 22959 / JCM 33894 / BCRC 81048 / CCUG 64013 / CIP 107961 / Muc) OX=349741 GN=Amuc_0920 PE=1 SV=1 MSIFSSRRQFLKSLGLAAGAAAAGNALPGKAVEIPAGDHLWKSASPAAPRPSGSTYMGGFKAPRLGRIRLAFIGVGGRGFSHLAQMCVMDGVEIVGICDLKEELTKRGVDRVLSRMGKSPLGYSGGDMEYLTMLKELKPDAVIISTDWSSHARIACDSMKHGAHAFVEVPLAVSLEELWSLVDTSEATRKHCMMMENVNYGRDELMFLNMVRQGVIGDLLHGEAAYIHCLVTQLGDTRGEGAWRPEYHTRINGNLYPTHGLGPVAQYMNLERGEDRFCRVAAFASPALGRNAYAKKHLPADHRWNNTPFICGDMNTAVVKTQLGRTILVQLDETSPRPYSRANLIQGTEGTLAGFPTRVAGEKLGNGNYHEWIEGREKLAAIYEKYDHPLWKRIGELATKMGGHGGMDFVMLSRIVECLRNGEPMDQNVYEGASWSSLLPLTARSIAQGGMPVEFPDFTRGDWKTTMPLAVVS