P97802 AF NFT

Angiogenin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefpyy75n7atyc5hdndjc327f6lmqca3tcydhv2ltostrsqbbfthy/metadata.json
IPFS of structure file: 
bafybeibwe4jefxc7d474x52d5aycjpxm2b43xwgps56oxo5o3pfgoezqv4/AF-P97802-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x258CbfE2Ee2C538E3c07358D08791F4284aD813f
First NFT owner address (bech32): 
genesis1ykxtlchw93fcu0q8xkxss7glg2z2mqflzk6wyy
Current NFT ID #16225 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16225
Accession (UniProt):
P97802
Name::
Angiogenin-3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P97802 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97802|ANG3_MOUSE Angiogenin-3 OS=Mus musculus OX=10090 GN=Ang3 PE=1 SV=2 MVMSPGSLLLVFLLSLDVIPPTLAQDNYRYIKFLTQHYDAKPTGRDYRYCESMMKKRKLTSPCKEVNTFIHDTKNNIKAICGENGRPYGVNFRISNSRFQVTTCTHKGGSPRPPCQYNAFKDFRYIVIACEDGWPVHFDESFISP