P0DJ03 AF NFT

Peptide Hp1035

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib43kznh454aw6tglknbxhb7oqpk2efaw5kxzsd3qofl5yhrebxde/metadata.json
IPFS of structure file: 
bafybeihcilyglmada4k2nuenjro7s2qbllbcjw4xwow3jtoreqskqgfqxq/AF-P0DJ03-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB6aE45B1399Ef638D7fe596FD0B94A55c207203e
First NFT owner address (bech32): 
genesis1k6hytvfenmmr34l7t9hapw222hpqwgp7vrxumh
Current NFT ID #260443 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
260443
Accession (UniProt):
P0DJ03
Name::
Peptide Hp1035
Experimental Method:
Predicted structure
Sequence source:
Heterometrus petersii

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 P0DJ03 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DJ03|NDB4S_HETPE Peptide Hp1035 OS=Heterometrus petersii OX=754296 PE=2 SV=1 MKTQFVILLVALVLFQMFAQSEAIFSAIGGFLKSIFGKRGLQDLDMDDLDQLFDGEISQADINFLNQLMR