Q1RM35 AF NFT | MOLNFT bioinformatics, blockchain

Cilia- and flagella-associated protein 36

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihptqleuo5jqsetielndkrxtt75qtrfehimxt2n7tn6dadvjg5wju/metadata.json

IPFS of structure file:

bafybeif333dwhwg37o5aelhrirktmrxgv7ctnu6fgb7hmvhuz5qvyma7mi/AF-Q1RM35-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F

First NFT owner address (bech32):

genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h

Current NFT ID #58687 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
58687
Accession (UniProt):
Q1RM35
Name::
Cilia- and flagella-associated protein 36
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q1RM35 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1RM35|CFA36_DANRE Cilia- and flagella-associated protein 36 OS=Danio rerio OX=7955 GN=cfap36 PE=2 SV=2 MAEDSEWVPESIAGFLGSPDWLIPLAEFMESRCSVFDDEDENKLTYTEIHQQYKQLVERLLENYMQDVGISEQQFLEACSSFSSSASLQTVFQPVLATDDFQMFRSLMVQKNMELQLQALHVIKQRNGGLPECLTDGVDVMSELEQQEMKILQEVLRRSKEEYDLQMGQCGLGSEDLASTSSSVSETPQNPEQRLSNGVSDPLTLTQPDSEMEESSTATQRKMEESEPTATTACKSKALPAVRAPLRGSVVAKQSSAERERELERARDTHTDCRTLTDEVALQQRSEYLKQQRDKLQALKRQTGKGLTDTAAAAAPEPKPATQEISVEEKKKLQKRKHVAEKLKEEVIKK