B0KJ92 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjh6su57otp7fsuuu2zxkn5qpjmgh5ezislvojdnu5mozc72sbay/metadata.json
IPFS of structure file: 
bafybeibee6fpb62pias4lunascty5apsj4uchahsbyb6czb2vvzb6jhfpi/AF-B0KJ92-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x60EF0a6443CE47EACeE47D9a8C2C8667FcCB317D
First NFT owner address (bech32): 
genesis1vrhs5ezreer74nhy0kdgctyxvl7vkvtau62mr0
Current NFT ID #17572 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
17572
Accession (UniProt):
B0KJ92
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain GB-1)

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 B0KJ92 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0KJ92|APAG_PSEPG Protein ApaG OS=Pseudomonas putida (strain GB-1) OX=76869 GN=apaG PE=3 SV=1 MSDPRYQIDVSVVTRYLKEQSDPENSRFAFAYTITVQNNGSLKAKLLSRHWLITNGDGEVEEVRGAGVVGQQPNIDPGQSHTYSSGAVISTRVGTMQGSYQMFAEDGKRFDAEIAPFRLAVPGALH