Q0CFS3 AF NFT

Probable endo-1,4-beta-xylanase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiertr5bpjcchyhz7fd7w7tlaj3lyhxglsvrb4ybhxhbitzs5ctl6a/metadata.json
IPFS of structure file: 
bafybeicrbkez6lxidqjvhk74bw3gzu3qcd3x3ypkcjlznbeqlghtzqt2ru/AF-Q0CFS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x091554B316044d26D7307E7F5d45AEFbD0138EB3
First NFT owner address (bech32): 
genesis1py24fvckq3xjd4es0el463dwl0gp8r4nu6tt2g
Current NFT ID #502458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502458
Accession (UniProt):
Q0CFS3
Name::
Probable endo-1,4-beta-xylanase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CFS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CFS3|XYNA_ASPTN Probable endo-1,4-beta-xylanase A OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=xlnA PE=3 SV=1 MVSFLRLAVACFAAVGALAAPVESLEERSDELFNSTLHEFAERSTPSSTGWSNGYYYSFWTDGGGSVTYTNGAAGQYSVQWSNVGNFVGGKGWNPGSARTINYGGSFNPSGNGYLAVYGWTTNPLVEYYVVESYGTYNPGSGGTYKGTVNSDGGTYNIYTATRYNAPSIIGTATFTQYWSVRTSKRTGGTVTMANHFNAWASHGMNLGTHNYQIVATEGYQSSGSSSITVY