Q99JB7 AF NFT

Protein amnionless

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibucbrv22xndnhcdgketxun6tblmfvsig4khtibozhqtxivkqset4/metadata.json
IPFS of structure file: 
bafybeifxjms4i74dam5oymfvjnsnjsdsduh4tsersb6ou5wumoqaioae7m/AF-Q99JB7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x17E9d21fd624B72bb4C36cf08735A72f9f3D109A
First NFT owner address (bech32): 
genesis1zl5ay87kyjmjhdxrdncgwdd8970n6yy6nzn8yv
Current NFT ID #14899 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14899
Accession (UniProt):
Q99JB7
Name::
Protein amnionless
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q99JB7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99JB7|AMNLS_MOUSE Protein amnionless OS=Mus musculus OX=10090 GN=Amn PE=1 SV=1 MGALGRVLLWLQLCAMTRAAYKLWVPNTSFDTASNWNQNRTPCAGDAVQFPADKMVSVLVRDSHAISDMLLPLDGELVLASGAALSAAGGDSDPACNPGAPLLFRNPDRFSWLDPHLWSSGTQAPGLFSVDAERVPCSYDDVLFPRDGSFRVALGPGPNPVHVRSVSAVGQTFSRDEDLTAFLASREGRLRFHGSGALRVGSQACTDASGCVCGNAEMLPWICASLLQPLGGRCPQAACQDPLLPQGQCCDLCGAIVSLTHDPTFDLERYRARLLDLFLKQPQYQGLQVAVSKVLRDAHTEIQVVLVETEHATGAAGQLGHALLQDAVAQGSVLGIVSATLRQSGKPMTADSELNQSSSGAGLAGGVAALVLLALLGTVLLLLHRSGRLRWRRHEDAEPVSAGLPLGFRNPIFDAIVFKQQPSVELPDSAQKVDILDIDTKFGCFVNPLFAGEAEAEA