P0C2M9 AF NFT

Pesticin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif274xqgwejwjc364menwx5tm4tgdpzu5rlun2wk6ggsn6vjnbvxu/metadata.json
IPFS of structure file: 
bafybeibiahd5mcsa25jcdw6qrv6ka4uqx3xp6hsw7mteytickqhm2uauua/AF-P0C2M9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA722eA6E71d03bAe87Bd6148797813D88FAe94D0
First NFT owner address (bech32): 
genesis15u3w5mn36qa6apaav9y8j7qnmz86a9xs5wdgwz
Current NFT ID #138687 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
138687
Accession (UniProt):
P0C2M9
Name::
Pesticin receptor
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA

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 P0C2M9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C2M9|FYUA_YEREN Pesticin receptor OS=Yersinia enterocolitica OX=630 GN=fyuA PE=2 SV=1 MKMTRLYPLALGGLLLPAIANAQTSQQDESTLEVTASKQSSRSASANNVSSTVVSAPELSDAGVTASDKLPRVLPGLNIENSGNMLFSTISLRGVSSAQDFYNPAVTLYVDGVPQLSTNTIQALTDVQSVELLRGPQGTLYGKSAQGGIINIVTQQPDSTPRGYIEGGVSSRDSYRSKFNLSGPIQDGLLYGSVTLLRQVDDGDMINPATGSDDLGGTRASIGNVKLRLAPDDQPWEMGFAASRECTRATQDAYVGWNDIKGRKLSLSDGSPDPYMRRCTDSQTLSGKYTTDDWVFNLISAWQQQHYSRTFPSGSLIVNMPQRWNQDVQELRAATLGDARTVDMVFGLYRQNTREKLNSAYNMPTMPYLSSTGYTTAETLAAYSDLTWHLTDRFDIGGGVRFSHDKSSTQYHGSMLGNPFGDQGKSNDDQVLGQLSAGYMLTDDWRVYTRIAQGYKPSGYNIVPTAGLDAKPFVAEKSINYELGTRYETADVTLQAATFYTHTKDMQLYSGPVGMQTLSNAGKADATGVELEAKWRFAPGWSWDINGNVIRSEFTNDSELYHGNRVPFVPRYGAGSSVNGVIDTRYGALMPRLAVNLVGPHYFDGDNQLRQGTYATLDSSLGWQATERINISVHVDNLFDRRYRTYGYMNGSSAVAQVNMGRTVGINTRIDFF