Q5PH83 AF NFT

Anti-FlhC(2)FlhD(4) factor YdiV

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibj4ugvcvm2llfrhs6t364eug5f7jzvtdosfjpgbdx4yjnq2whfuq/metadata.json
IPFS of structure file: 
bafybeicjztn75qdwlvptmcmaadldhdngw2xmf5c4xz7g3y373p5vuarw54/AF-Q5PH83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D8AC6839faa3C892F8c17aAbFdD19d015dbB9df
First NFT owner address (bech32): 
genesis1pk9vdqul4g7gjtuvz74tlhge6q2ahwwl9ad3uq
Current NFT ID #528637 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528637
Accession (UniProt):
Q5PH83
Name::
Anti-FlhC(2)FlhD(4) factor YdiV
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA PARATYPHI A (STRAIN ATCC 9150 / SARB42)

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 Q5PH83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5PH83|YDIV_SALPA Anti-FlhC(2)FlhD(4) factor YdiV OS=Salmonella paratyphi A (strain ATCC 9150 / SARB42) OX=295319 GN=ydiV PE=3 SV=1 MIASLDELYHSELFFLPVMDENARLVGLEIIATFAAEDGAVRMPTELVAPRLSVEEQYCLFVEKLALLETCQHFFIQHKLIAWLNLPPAISDLLLLDSELFSRAARFPFLELAINENYPGLNQGKNNETLANLAMHFPLMLANFGAGEASTKAIFDGLFKRVMLDKNFIQQRAEMISFEPFMHAIVAQISSSCESLMIAGIDTEAMFARAAPLGFSAFQGGLWPPVPVSQLIKLVQR