Q9PFB3 AF NFT

UPF0394 membrane protein XF_0765

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkdqrvbvg4ss76woj6nxf7ccy4l3ygosl7m2l6h2wlwiadutmkke/metadata.json
IPFS of structure file: 
bafybeidgzdhv6enesxoc7e2etkfyu2d3jc4reux2uwqap3ctu5vyepm36e/AF-Q9PFB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x934012E5e4f386C982279c76c4Af0Ebf43E47f3F
First NFT owner address (bech32): 
genesis1jdqp9e0y7wrvnq38n3mvftcwhap7glelp526h6
Current NFT ID #521549 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521549
Accession (UniProt):
Q9PFB3
Name::
UPF0394 membrane protein XF_0765
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PFB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PFB3|Y765_XYLFA UPF0394 membrane protein XF_0765 OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=XF_0765 PE=2 SV=1 MSLHVTLRFTVALAAGLLFGFGLALSEMINPIRVLSFLNVASGHWNPSLLFVLGSALAVAFPGMALQRRLKRPLLDECFHLPSKKVIDRRIVFGSAIFGTGWGLTGLCPGPAIASLSTGLGPVLLFVAAMAAGMIIHDRIVVRCLS