Q8CFV2 AF NFT

Protein FAM149A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3fwsawfrdvwlumnsmogrkrbnxftzuq5toxxtp5guybjbyloaqae/metadata.json
IPFS of structure file: 
bafybeicqpjmt7itbfco7hzaij5eiefctyqcblihmaeyi2yu6uhunrbpjxy/AF-Q8CFV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x320d59A32cDD20f65Fd6bcCbb9bA5fcfE4Dd1A21
First NFT owner address (bech32): 
genesis1xgx4ngevm5s0vh7khn9mnwjleljd6x3p59myqs
Current NFT ID #123036 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
123036
Accession (UniProt):
Q8CFV2
Name::
Protein FAM149A
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 Q8CFV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8CFV2|F149A_MOUSE Protein FAM149A OS=Mus musculus OX=10090 GN=Fam149a PE=2 SV=1 MKVAVLDLGSLFAKIFKLSTASPAVSSHPGGAAATGSVDSGASTSLREAETLTLLPSLPPDTAASREPFTPVHTPLPASHPRSSAAAQRVEATGCSGSLPSSSGASIAPPLTPYSGSAGSVASVTLPSPGVDWATLPSVTIPLGSNSVTASSPRNPRQLRAPGEREPSVWMAPGPVPKTLFFTLPDIGEEWTSDSDSQDDPEGRGLSEGLRKQSSEKSKDPLPTNFTRNVQKAIDKFASESPSSFSSSGSRTPTEAHNSWPGSSTQSSTTGLSTERSSVSSWRDDEFDKVSAQKVHQLFWEVEELLFEGKVSPQTQNLLAECSEWARRSLHLRVVGRQLVPPTDEGFQHFQGSLPSSATHEALPHVPDHTSSSRELCISGSQIVPEVHSASALTDPDGTESADLTSCSSLKEEVYHVDGNIEEYFAFDRKQDGDEHLGQSPALRGRKRHRHGLPPISPDDCIRDAVAAEVFDHVWTNVVEILEDLIRKTWESALTGGKKHKEKLKVAENRSPHVLMSRLSTDVCSVPPSRSSDTLQPSLAPHFNPPQFPQLHRFSSNFYSDLSGVMTIQAKPLQQRPTYSADRTQNDQDDKLPGGGVGASSRHRLGRILDARGPQTSVKKTPVHRRLPSIASDPQRLKTPTVYSDEILRGTKLQTGIDYLPSPAAVQTSRSRLPPIGSETGEPNTAASGSRPVSYRGRHPQSRVFSAMPDSIERSPLRERTIVLEQLSRPSTTHTFRSDTPRKGSLTPVEFVAHTWTGQSILTGSQYLPKSYQRATLTARKRFQVAS