A1JM45 AF NFT

Putative transport protein YE1478

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazwohzmruqrn5dfu3p5meeqspx2xu67pxz5h4jntk4ivdzgm42ki/metadata.json
IPFS of structure file: 
bafybeidvhflkxwos5lj4h7ksnieprqndt2x6btjtiowmgbbgwozy4lmgka/AF-A1JM45-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #507210 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
507210
Accession (UniProt):
A1JM45
Name::
Putative transport protein YE1478
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA SEROTYPE O:8 / BIOTYPE 1B (STRAIN NCTC 13174 / 8081)

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 A1JM45 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1JM45|Y1478_YERE8 Putative transport protein YE1478 OS=Yersinia enterocolitica serotype O:8 / biotype 1B (strain NCTC 13174 / 8081) OX=393305 GN=YE1478 PE=3 SV=1 MNINVANLLNGNYILLLFVVLALGLCLGKLRLGPIQLGNAIGVLVVSLLLGQQHFTINTEALNLGFMLFIFCVGVEAGPNFFSIFFRDGKNYLMLALVMVGSAMVLALGLGKLFGWDIGLTAGMLAGSMTSTPVLVGAGDTLRHTIANNPALQHAQDNLSLGYALTYLIGLVSLILGARYLPKLQHQDLPTSAQQIARERGLDTDSQRKVYLPVIRAYRVGPELVAWADGKNLRELGIYRQTGCYIERIRRNGILANPDGDAVLQVGDEISLVGYPDAHSRLDPSFRNGKEVFDRDLLDMRIVTEEIVVKNSNAVGKRLSHLKLTDHGCFLNRVIRSQIEMPIDDNVVLNKGDVLQVSGDARRVKSVAEKIGFISIHSQVTDLLAFCAFFILGLMIGLITFQFSNFSFGIGNAAGLLMAGIMLGFLRANHPTFGYIPQGALNMVKEFGLMVFMAGVGLSAGGGINSSLGAVGGQMLISGLIVSLVPVVICFIFGAYVLRMNRALLFGAIMGARTCAPAMDIISDTARSNIPALGYAGTYAIANVLLTLAGSLIVIVWPGILG