P0A3N4 AF NFT

17 kDa surface antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwzuwaoa4555hde3pepx7vz7pelo7c3blkbih6pu6yx3w2qpvwvy/metadata.json
IPFS of structure file: 
bafybeidngoqo3eu4khg76ydk6priqpxiyx55gqa6biqltnmxmqhunhl76e/AF-P0A3N4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04371A27B3b7eB60047Af9d5D774d8e9e3353C98
First NFT owner address (bech32): 
genesis1qsm35fankl4kqpr6l82awaxca83n20ycku76fq
Current NFT ID #185 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
185
Accession (UniProt):
P0A3N4
Name::
17 kDa surface antigen
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 P0A3N4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A3N4|17KD_RICCN 17 kDa surface antigen OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=omp PE=3 SV=1 MKLLSKIMIIALATSMLQACNGPGGMNKQGTGTLLGGAGGALLGSQFGKGKGQLVGVGVGALLGAVLGGQIGAGMDEQDRRLAELTSQRALETAPSGSNVEWRNPDNGNYGYVTPNKTYRNSTGQYCREYTQTVVIGGKQQKAYGNACRQPDGQWQVVN