Q7W9N2 AF NFT

UPF0225 protein BPP1723

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicskx3a6hmjmyzfkfho2iq5dfwbuujrqesb4qez7gdaxp7prym33m/metadata.json
IPFS of structure file: 
bafybeiek55p4m2tagxqsri25yqwwyjlodnpjjk2tn6ocwzglgnbt4e6z2e/AF-Q7W9N2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c2D56B87823aE0eC22a00C7d67B25Fa307D4d29
First NFT owner address (bech32): 
genesis13sk4dwrcywhqas32qrrav7e9lgc86nffy3s4mh
Current NFT ID #508945 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508945
Accession (UniProt):
Q7W9N2
Name::
UPF0225 protein BPP1723
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W9N2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W9N2|Y1723_BORPA UPF0225 protein BPP1723 OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=BPP1723 PE=3 SV=1 MKKPPSSPAACPCGKPRAYPDCCGRWHAGALFLQAPDAESLMRSRYSAFVLDQLDYLLQTWHPDTRPSELEPNAADVKWLGLQIKASQQQDDTHATVEFVARLRQAGRATRLHELSRFVKEEQRWYYVDGDIR