Q1ZXG3 Probable cytochrome P450 522A1 MolNFT, Molecular NFT on GenesisL1

Probable cytochrome P450 522A1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiebmjmhtglyetkeaqjhisabpakrjqndtvdehenpmxba4gj4u6gava/metadata.json

IPFS of structure file:

bafybeiaz22r565g3h3dtijug4ny4g3t3o532eizorchslvd253iecrjvxi/AF-Q1ZXG3-F1-model_v2.pdb

First NFT owner address (eip-55):

0xb3F9EF9F4FB9Ac96d7048EC06e2DF30B39c0afc1

First NFT owner address (bech32):

genesis1k0u7l860hxkfd4cy3mqxut0npvuupt7pcx6we0

Current NFT ID #48103 owner (web3):

0xb3F9EF9F4FB9Ac96d7048EC06e2DF30B39c0afc1

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
48103
Accession (UniProt):
Q1ZXG3
Name::
Probable cytochrome P450 522A1
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q1ZXG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1ZXG3|C522A_DICDI Probable cytochrome P450 522A1 OS=Dictyostelium discoideum OX=44689 GN=cyp522A1 PE=3 SV=1 MILTIVIIILTVIFVNKYLLNNGGKNDLRKVQGPFNLPLLGALYAFDKERFHKSFDKFYDKYKDFYFIKFGQHDCIVLNSPKLIKQVVIEQSDSVFERFHTPSIKRYAQGKSILGCSPDEWKKLRSFIVISFSKNKMGQQVLDKIFHTQYLKFENHIKKLIKSNNNIVTLEPEFKRLTISIIFNFQFGTDLEFTDPLIDSLLVCTEKIIASCQKASDLMPIFEIFTSYKDIDGVVKEMYALVKPFLEKYLKQHDRNNPKCALDHMINCILDQDEPKLITYEHLPHFLMDMFIGGTESTARTMDWFTLMMTNRKEMQDRIRTELLDVGIRLPVLVDKQKYPLLNASIKEIHRLRPIQPIIASRVVNDPIVLKHECSAKGESYTIPVGTLIIPNAHSFNFDPQYHKDPLTFNPNRYIGDNPEILHMTFDIGIRTCPFMSFAIDELFIIFSRLFQSFEFQPIDNTPISEEAFTINSIRPKQWSCQVIERDHK

Q1ZXG3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q1ZXG3 research and analysis (ICN3D with VR)

FASTA sequences

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