P70794 AF NFT

Uncharacterized 16.3 kDa protein in TAR-I ttuC' 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidwnhp4tneygbxkq5focyzuykuysafgjiroxrtsghz6cmhhx4lkkq/metadata.json
IPFS of structure file: 
bafybeicahbl3352lekhwaflb62ufohnx6zzb3575v5y5nnldafmlz6fcty/AF-P70794-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a518D7f85eD490B16cdD47CeC359Ccb050F802E
First NFT owner address (bech32): 
genesis1pfgc6lu9a4ysk9kd637wcdvuevzslqpwg9q2ut
Current NFT ID #538688 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
538688
Accession (UniProt):
P70794
Name::
Uncharacterized 16.3 kDa protein in TAR-I ttuC' 3'region
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM VITIS

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 P70794 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P70794|YTZ1_AGRVI Uncharacterized 16.3 kDa protein in TAR-I ttuC' 3'region OS=Agrobacterium vitis OX=373 PE=4 SV=1 MTEQQQGSRRDVVAGGIFIAIAALFAIQGSRYEFGTATQMGPGFFPVVLAVLLAIFGAFTMIAGFRKVPEAHDGPVSWRALVLVCLALAIFGAGARPLGLVPVVVICTFMSAMASRKNTVFSAGVMALVMAVLCFVIFKIGLAVTLPTFGPVFGR