A7FK36 AF NFT

Putative transport protein YpsIP31758_2649

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeianrcz7gwmt2tryrikynhyvvivkbatafuk7fz4b44y3vooy26xpzq/metadata.json
IPFS of structure file: 
bafybeifcognuamgkjhtdwolrh4quhyy4vpvct7atkjnibdtz4sszsmbxsu/AF-A7FK36-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #513181 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513181
Accession (UniProt):
A7FK36
Name::
Putative transport protein YpsIP31758_2649
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype O:1b (strain IP 31758)

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 A7FK36 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7FK36|Y2649_YERP3 Putative transport protein YpsIP31758_2649 OS=Yersinia pseudotuberculosis serotype O:1b (strain IP 31758) OX=349747 GN=YpsIP31758_2649 PE=3 SV=1 MNINVANLLNGNYILLLFVVLALGLCLGKLRLGSIQLGNAIGVLVVSLLLGQQHFAINTEALNLGFMLFIFCVGVEAGPNFFSIFFRDGKNYLMLALVMVGSAMILALGLGKLFGWDIGLTAGMLAGSMTSTPVLVGAGDTLRHTMANGSSLQQAQDNLSLGYALTYLIGLVSLILGARYLPKLQHQDLPTSAQQIARERGLDTDSQRKVYLPVIRAYRVGPELVAWADGKNLRELGIYRQTGCYIERIRRNGILANPDGDAVLQVGDEISLVGYPDAHSRLDPSFRNGKEVFDRDLLDMRIVTEEIVVKNSNAVGKRLSHLKLTDHGCFLNRVIRSQIEMPIDDNVVLNKGDVLQVSGDARRVKSVAEKIGFISIHSQVTDLLAFCSFFILGLMIGLITFQFSNFSFGIGNAAGLLLAGIMLGFLRANHPTFGYIPQGALNMVKEFGLMVFMAGVGLSAGGGINSSLGAVGGQMLISGLIVSLVPVVICFVFGAYVLRMNRALLFGAIMGARTCAPAMDIISDTARSNIPALGYAGTYAIANVLLTLAGSLIVILWPGILG