B0FHH8 AF NFT

MD-2-related lipid-recognition protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidimcp65mfw6z3yjkmfwx4hnhklcfsavmj2jkdyucpuciqznwvynu/metadata.json
IPFS of structure file: 
bafybeicbcuioj4vpkaxzchjpngw3fhxbnindht5ac3lr5n3ejacshu5g4u/AF-B0FHH8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeF036C04BE8b62aF43C82A9ec62223aAa892154
First NFT owner address (bech32): 
genesis1hmcrdsztazmz4apus257cc3z824gjg258k4s7r
Current NFT ID #236516 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
236516
Accession (UniProt):
B0FHH8
Name::
MD-2-related lipid-recognition protein
Experimental Method:
Predicted structure
Sequence source:
MANDUCA SEXTA

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 B0FHH8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0FHH8|ML1P_MANSE MD-2-related lipid-recognition protein OS=Manduca sexta OX=7130 PE=1 SV=1 MAALHWLLLAALLGCTLAEEQAIFYNCEEASEAVCSVKEVRINPCNPNKKCIFKKGVNASISFDFEPNFASSKLVTTLYGPFDVEFDEMTNVDACQYTKCPTEPGKSQVLDYTLYIGKKLPQGTYTFKWKLWNPEETSQLCCFKTTIKIRK