Q1C912 AF NFT

UPF0194 membrane protein YPA_1093

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia4x74nybnzzzejbdeckz44apyqqffny3zvxrl3ikjjdbfhjwn6hm/metadata.json
IPFS of structure file: 
bafybeicicc7fo76k4zcbem4sdd5yzwwgyjaj77s2e67qkmapow2jauldru/AF-Q1C912-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x758850a3D7646b829972912E8A512268C74ceb66
First NFT owner address (bech32): 
genesis1wky9pg7hv34c9xtjjyhg55fzdrr5e6mxetvqgj
Current NFT ID #504283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
504283
Accession (UniProt):
Q1C912
Name::
UPF0194 membrane protein YPA_1093
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C912 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C912|Y1093_YERPA UPF0194 membrane protein YPA_1093 OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=YPA_1093 PE=3 SV=1 MNRKKIIVAAVIVALLATLAYGWHYYRQQNDASLTLYGNVDIRTVNLGFRVAGRLASLAVDEGDDIHPGQTLGKLDDGPYLNALKQAQANVQSAQAQLALLKAGYREEEIAQVRSEVAQRQAAFDYADNFLKRQQGLWASKAVSANELENARTARNQAQANLQAAKDKLAQFLSGNRPQEIAQAEANLAQTEAELAQAQLNLQDTILLAPSAGTVLTRAVEPGTILSASNTVFTVSLTDPVWVRAYVSERHLGQAIPGSEVEVFTDGRPDKPYHGKIGFVSPTAEFTPKTVETPDLRTDLVYRLRIIITDADESLRQGMPVTVRFPQR