Q3TGF2 AF NFT

Protein FAM107B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif42sbxdcs2dd6awu6tvrjktqxpdu63xdytam5o3usq55qep3raja/metadata.json
IPFS of structure file: 
bafybeig5xfzpwnu6lei5utxkqupciinujveuuw25ymzghoh227qrjeoqfu/AF-Q3TGF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x245Fa93d080F0Ea0899525993BC10b55e79b454D
First NFT owner address (bech32): 
genesis1y306j0ggpu82pzv4ykvnhsgt2hnek32d227zyn
Current NFT ID #122933 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
122933
Accession (UniProt):
Q3TGF2
Name::
Protein FAM107B
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 Q3TGF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3TGF2|F107B_MOUSE Protein FAM107B OS=Mus musculus OX=10090 GN=Fam107b PE=1 SV=2 MAEPDYIEDDNPELIRPQKLINPVKSSRNHQDLHRELLMNQKRGLAPQNKPELQKVMEKRRRDQVIKQKEEEAQKKKSDLEIELLKRQQKLEQLELEKQKLQEEQENAPEFVKVKGNLRRTGQEVAQAQES