P32987 AF NFT

Uncharacterized 17.7 kDa protein in bps2 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibczflsodnosiy7vcmvnhljms7qgjk5vrab7ugy7fjujklcmx732a/metadata.json
IPFS of structure file: 
bafybeid7v5ozylnzlnsxdye2rn56itpsyemeca4ki7gsqhrscrufhascli/AF-P32987-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x85125C8B0096B3cCEdc65a9BaD632992883fFb48
First NFT owner address (bech32): 
genesis1s5f9ezcqj6euemwxt2d66cefj2yrl76gsmcxzm
Current NFT ID #525929 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
525929
Accession (UniProt):
P32987
Name::
Uncharacterized 17.7 kDa protein in bps2 3'region
Experimental Method:
Predicted structure
Sequence source:
ACIDIANUS AMBIVALENS

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 P32987 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P32987|YBP3_ACIAM Uncharacterized 17.7 kDa protein in bps2 3'region OS=Acidianus ambivalens OX=2283 PE=4 SV=1 MATKVSQIATTKVYVVKPNVTIAEAAKEMKEHNLGSLVVIDSQNRVVGIITERDIVKAASNRDIDSPVEKYMTKDVKGVTEDTEVTDALDIMLNNGFRHLPIIKSNGKLYGIVSIRDLARALLDVHTMQFGKPAEEVKGTGVICPVCGMEIDEYGYCGCGTGSG