Q9VQU9 AF NFT

Protein bowel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdhrl5nrldjydnbyzkm7gcxjg2lgrcddhq72k3vspyt2nhowremq/metadata.json
IPFS of structure file: 
bafybeicxpwuyazdj5tuhthk5rcznhtu4h75ncjycs7qj7x2f36c6ylq3py/AF-Q9VQU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #45628 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
45628
Accession (UniProt):
Q9VQU9
Name::
Protein bowel
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VQU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VQU9|BOWEL_DROME Protein bowel OS=Drosophila melanogaster OX=7227 GN=bowl PE=1 SV=1 MPTESSSSEISGGGGGAIPMLRPSRMDQFMNSMAAAAAAVGGGGLPGAADRNGGSGGSDGGSQNGNGDSRNSSASRISAYETQLAYQQHLAGLHGPPPPPPPSHHREISAFVPVLPTGKVRPGSNSNYEIIAMMADKRKELALREAAAAAAMLGRGPGGPGGPGVPPPGVLYGPAGVPPPPYLTGPGPSPTGAGSFPFPPGAAAAALFPPGLGPGMHAGLDRRLLRAPGRASRPKKQFICKFCNRQFTKSYNLLIHERTHTDERPYSCDICGKAFRRQDHLRDHRYIHSKEKPFKCTECGKGFCQSRTLAVHKILHMEESPHKCPVCSRSFNQRSNLKTHLLTHTDHKPYECSSCGKVFRRNCDLRRHALTHAVGEVNSGDYVDVGEEDEARNLSGDEEDSLLEVDSPRQSPVHNLGESGGSGEKSESERMRLKRKAAIDHEESEEEFDDFDEEEELQDLPRVHDLPREEDDDFDPEDEEQAEVALVARFQASKAAATSQSSSSVGTKPERQGVTHCHHEGGETYTMRPHGEKHQEEPGNSGIASLPVPPSFVRYSVPPGAAGPPPAPPGAPPPTHQHPGHPHLLPPNGDPYLPILHVRRDLHHKSLNLSKAGVPPPPHTPPTIITQPESGKPPNQPLHSPHEAMPSFLGSIPMRKRILPAPTLDLMDPHHHPGLGQRTFVDSPSIYALNMSRHPPRQLLGKPPSTETSGATTEKGPPVAAPPIAPPPAPPRRTGFSIEDIMRR