Q9SFV2 AF NFT

FHA domain-containing protein FHA2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiftkq44lead643b5dej5nd6dxlsjyctwfasrv53bx46zsej2cttzq/metadata.json
IPFS of structure file: 
bafybeihfo3umfm2lrf6ypbx6dc2tnuhfdodhaiogpk2vwavdeoop3dn26e/AF-Q9SFV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2ea681d9082FbcfC3DbDFec5C526D20Eca498da6
First NFT owner address (bech32): 
genesis196ngrkgg9770c0dalmzu2fkjpm9ynrdx9l46aq
Current NFT ID #130064 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
130064
Accession (UniProt):
Q9SFV2
Name::
FHA domain-containing protein FHA2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SFV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SFV2|FHA2_ARATH FHA domain-containing protein FHA2 OS=Arabidopsis thaliana OX=3702 GN=FHA2 PE=1 SV=1 MATAVGGGSDVEVGFAKLQGEDFEYYMQSYSIILGRNSKKATVDVDLSSLGGGMNISRNHARIFYDFTRRRFSLEVLGKNGCLVEGVLHLPGNPNVKLDSQDLLQIGDKEFYFLLPVRSILGGPLGPRHHVSGQTSVVPYHNYQSGPGSGSGKKGVRSRELYEYDDEDDDDDDDEEDDMRGSGKKTRRDGHEVVYASGEKKREGRSKVDREADDQQFLQLEEKDVVSSVATVLSDLCGPGEWMPMEKLHSVILKEYGNVWHHSRVRRYLSQEDWAIPEAKGKPWYGLLMLLRKYPEHFVINTRSKGRVTLEFVSLVTLLS