P17989 AF NFT

Beta-glucanase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiho6lsfs5ezaybhbmvqhhonbonxqjccmrhrmwfltd2nivvqqdyh5y/metadata.json
IPFS of structure file: 
bafybeid5mylq2se4vqyihnwkh7lxqbijh3yf3froe6inb5oaedbc5teoje/AF-P17989-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF735868Ed28047cF23BA5d3456038A2327881C43
First NFT owner address (bech32): 
genesis17u6cdrkjspru7ga6t569vqu2yvncs8zr7dfejp
Current NFT ID #162012 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
162012
Accession (UniProt):
P17989
Name::
Beta-glucanase
Experimental Method:
Predicted structure
Sequence source:
Fibrobacter succinogenes (strain ATCC 19169 / S85)

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 P17989 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P17989|GUB_FIBSS Beta-glucanase OS=Fibrobacter succinogenes (strain ATCC 19169 / S85) OX=59374 GN=Fisuc_2961 PE=1 SV=1 MNIKKTAVKSALAVAAAAAALTTNVSAKDFSGAELYTLEEVQYGKFEARMKMAAASGTVSSMFLYQNGSEIADGRPWVEVDIEVLGKNPGSFQSNIITGKAGAQKTSEKHHAVSPAADQAFHTYGLEWTPNYVRWTVDGQEVRKTEGGQVSNLTGTQGLRFNLWSSESAAWVGQFDESKLPLFQFINWVKVYKYTPGQGEGGSDFTLDWTDNFDTFDGSRWGKGDWTFDGNRVDLTDKNIYSRDGMLILALTRKGQESFNGQVPRDDEPAPQSSSSAPASSSSVPASSSSVPASSSSAFVPPSSSSATNAIHGMRTTPAVAKEHRNLVNAKGAKVNPNGHKRYRVNFEH