A2QVV2 AF NFT

Probable catabolite repression protein creC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewtlsvtzs5jhsfi5mmg74nptgfifwb5mdlhd5x2jqrl4blmgcmkq/metadata.json
IPFS of structure file: 
bafybeiec3cmax4dfm7whmyjwwomco5l5yvphm2hknq2e6hdyyiflw7tpfe/AF-A2QVV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #76992 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
76992
Accession (UniProt):
A2QVV2
Name::
Probable catabolite repression protein creC
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS NIGER (STRAIN CBS 513.88 / FGSC A1513)

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 A2QVV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2QVV2|CREC_ASPNC Probable catabolite repression protein creC OS=Aspergillus niger (strain CBS 513.88 / FGSC A1513) OX=425011 GN=creC PE=3 SV=1 MFVLPPPPPRYTVPVAYAAGASNGMAVPVVETNNIISHPEGGCSLQAGEGTYLLRDDLHLATPPPHPSEAPVMNPNPLATVPAPPTSGVKLSLVSIGSRIKTPTPSVDGVGAASLFGDGNPALAAPPVKEGLKRRKPKNNIIKSSSSFVSRVITHETATKRLNDRNPDGLFAFANINRAFQWLDLSAKQKEEPVTKILFTKAHMISHDINELTKSTSHIDVVMGSSAGDIIWYEPMSQKYARINKNGVVNNSPVTHIKWIPGSENLFMAAHANGQLVVYDKEKEDALFAPELGSPSAETMKSSSGRSPLQILKSVNSRNQKTNPVALWKLANQKITQFAFSPDRRHLAVVLEDGSLRVMDYLKEEVLDIFRSYYGGLICVCWSPDGKYIVTGGQDDLVTIWSLPERKIVARCQGHNSWVSAVAFDPWRCDDRTYRFGSVGDDCRLLLWDFSVGMLHRPRVHQANARQRTSMIVSNTQHLNRHRADSGGNRTRSDSQETADTYNSYDPTVRHPVEPRARTALLPPIMSKIVGEDPICWLGFQEDSIMTSSLEGHIRTWDRPREGINDNYSYSPAISASATGSGRADSMMGSL