G3XMC5 AF NFT

Azaphilone cluster-specific transcription factor azaR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiae5qw6krpfgx2evic75tkekbkl4ev3bnks524vddklmykukpnh7a/metadata.json
IPFS of structure file: 
bafybeieq5erf5ou3ecb3r4yz2drtwkeeedxkejt7whwrexi65dlvypxjhe/AF-G3XMC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #39570 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39570
Accession (UniProt):
G3XMC5
Name::
Azaphilone cluster-specific transcription factor azaR
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS NIGER (STRAIN ATCC 1015 / CBS 113.46 / FGSC A1144 / LSHB AC4 / NCTC 3858A / NRRL 328 / USDA 3528.7)

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 G3XMC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|G3XMC5|AZAR_ASPNA Azaphilone cluster-specific transcription factor azaR OS=Aspergillus niger (strain ATCC 1015 / CBS 113.46 / FGSC A1144 / LSHB Ac4 / NCTC 3858a / NRRL 328 / USDA 3528.7) OX=380704 GN=azaR PE=3 SV=2 MSDSRTTTTKNNTTNHKTSRQGPGSACEECRRRKLRCDRQPQCQNCVDAGVYCVTNLARPARGPKKGHLKALKGRIATLERCLLEQRDGMLVDPISDDELLDKALSASSPASQSPDPSEEVSENILEDLDQVFFERVQPMVPILQRHRYFSWAREPQQSANRRGLQQAIRTLAAGVSSQLPEVRVALYRTTRHTLESLESDDTLLTAPDFEQVQAWILIAIYEFMQVSYSRGWMSAGRVFRLVQLLRLPEIDASPLSLLDLDLDPDSKWVVAEEKRRTVWMAYIMDCSLNLRHKGSLTLTEQALTRLPMPESEFQCGHPISMGFLAEALAGTDITSPLSSFAKCILLATISGRTLSHRHLSMAELLRGNPLQDVWTRHQWIDTTLTAHLQLSFSLPTAAESSDPMLLFAKMIGQAGVLSLYDILQSTPWEPETVSLLPDYEACALQAARETVVLARNLRHFSCFK