Q5M7Q1 AF NFT

Folliculin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicl7nahe6apwkhwrolnajzbwvohbq4pnyb73qvpb6rgo7v5wcc6xy/metadata.json
IPFS of structure file: 
bafybeids6iv3rqn5zxohkk26ma24yrl3m37nichl5kiwji3f2ww7xofkoy/AF-Q5M7Q1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc1ffc09aD3AD76BE5aBB18768F210CD3c710C853
First NFT owner address (bech32): 
genesis1c8lupxkn44mtuk4mrpmg7ggv60r3pjzn66mwfx
Current NFT ID #131363 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
131363
Accession (UniProt):
Q5M7Q1
Name::
Folliculin
Experimental Method:
Predicted structure
Sequence source:
XENOPUS TROPICALIS

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 Q5M7Q1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5M7Q1|FLCN_XENTR Folliculin OS=Xenopus tropicalis OX=8364 GN=flcn PE=2 SV=1 MNAIVALCHFCELHGPRTLFCTEALHSPHPQGASCGDSIGQGEQAEDEEMGIQMSSRIRCHSPAEGASADSNSPRPKKSDMCEGCRSLAAGHPGYISHDKETSIKYVSHQHPNHPQLFSIVRQACVRSLSCEVCPGREGPIFFGDEQHGFVFSHTFFIKDSLARGFQRWYSIIVIMMDRIYLINSWPFLLAKIRGVIDELQGKALKVFEAEQFGCPQRPLRINTAFTPFLHQRNGNAARSLTSLTSDDNLWACLHTSFAWLLKACGCRLTEKLLEGAPTEDTLVQMEKQADLEEECAAREVADGEEGRPRLQPELMEGRELSKCPTESSVLSDCSWNMVQRRMGVFRSLRHMRQVLGASAFRMLAWHVLMGNQVIWKGQDQELIQSAFDVLQAMLPVGCVRVIPYSEKYEDAYRCNFLGLSPQAEIPLHVQSSEFSVMVDVRHANRSNLYPALFVDDEPLSKYEFVVASGSPVTIDKVGLTILNKIEAALSNENLSMDVVDQCLICLKEEWMNKVKVLFKFTKVDSRPKEDTQKLLGILGASEEDNIKLLKFWMTGLSKTYKSHLMSSVRSPTASECRN