P63294 AF NFT

Glucagon-like peptide

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidibrgjubmzxdbyfbu2627gkqwd3mi6527lm62v3hehod2t3eql7e/metadata.json
IPFS of structure file: 
bafybeih5duhagsoa4idns2crqkb4j4hz73k3v6xdqt7mhx43aw4yxdj4km/AF-P63294-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #153042 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
153042
Accession (UniProt):
P63294
Name::
Glucagon-like peptide
Experimental Method:
Predicted structure
Sequence source:
ANGUILLA ANGUILLA

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 P63294 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P63294|GLUCL_ANGAN Glucagon-like peptide OS=Anguilla anguilla OX=7936 PE=1 SV=1 HAEGTYTSDVSSYLQDQAAKEFVSWLKTGR