E5A7E1 AF NFT

Cytochrome P450 monooxygenase abl1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieaidkxy26zqgzi4njqv2bq6geahhahcoaal5ajw43dqacy3gmvw4/metadata.json
IPFS of structure file: 
bafybeiaunb6whpe65hx766m7kx273lco2o5dxb2wc56qyi5iaa5ncharbq/AF-E5A7E1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #3794 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
3794
Accession (UniProt):
E5A7E1
Name::
Cytochrome P450 monooxygenase abl1
Experimental Method:
Predicted structure
Sequence source:
Leptosphaeria maculans (strain JN3 / isolate v23.1.3 / race Av1-4-5-6-7-8)

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 E5A7E1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E5A7E1|ABL1_LEPMJ Cytochrome P450 monooxygenase abl1 OS=Leptosphaeria maculans (strain JN3 / isolate v23.1.3 / race Av1-4-5-6-7-8) OX=985895 GN=abl1 PE=2 SV=1 MYCDSFFMSRLLSLAQLSGSSWSSICLVCVTSLVFWRIKIAVTQYIRLRHIPSPSIFAAVSYIWLARTTYSGKQYWIHRDLHRQHGPLVRIGPNEITTDDPEILKKIASSGSTYSRGTWYLTGRFNPYHDNLFTILDPFAHKKAKTRSMPAYLGRDTPGLEVIINDKVKQLISILQRRYLAVLPGQDPPLVDLGLISNYFTMDVITHLAFGHQVGYLQDEKDHYNFLGSVRKLWPQMSTSADVPWIRNILFSRPVLRFLGPKHTDKKGFGALMGAAKQHVDRRFDSGEERKHDMLESLMKRGFTRQECEIEGLFLLLSGTESTACAIRQILVHVITAPSVYAKLKQEIDSTCQGRGISYPIQLAEAKRLPYLQAVIYEGIRMRPPLLGLFPKVVPEPGETFHGQFIPAGTSICTNGSSLLRSKSLFGADADLYNPGRFMELSKERREEMERNVELAFGHGQWMCAGKTIAFMELNKVVFEKHCQFFRAFDMQLHSPLKPCEVESYAGLIAKPPAKSSDLSMISRVTDMSRGINPCYRYPPQYRTHLKTHMLNVPSGSNFIRMPIVLPST