Q6IVW0 AF NFT

Intraflagellar transport protein 57 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif64scnlm3tauwhiwlhj4abayqnzljssxe4y6ogodxszctaswepie/metadata.json
IPFS of structure file: 
bafybeia4k2ntphuhsm6v4lzaq7wuc3vt3p3dro6jdzujr7beyhed32onhu/AF-Q6IVW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #186735 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
186735
Accession (UniProt):
Q6IVW0
Name::
Intraflagellar transport protein 57 homolog
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 Q6IVW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IVW0|IFT57_DANRE Intraflagellar transport protein 57 homolog OS=Danio rerio OX=7955 GN=ift57 PE=2 SV=1 MAEEEERGPGSVYQMFVLMEDLLDKLKVLDYEQHVLDKHNIKPLSRHYFVSSPHVLSNPGEQFYMFSVIAAWLITLCGRPFDTPQEYDDPNATVSNILSELRTLGGQVDFPPSKLKTGSGEHVCYVLDQLVEKALKSKGFAWNRPLYPSVEVEDECVQEDDAELTLSKVEEEMTQEDEEYEEEDGLDLDALKTRTNGELSGSRPAVVLESDVDAAEWNLEVERVLPQLKVTIRTDNKDWRIHLDQMHQHQDGINTSLQDAKGCLFKLREDISKTLEKVSSREKYLNTQLEHLISEYRQAQSQLNKVKELYQQASGGVTERTRILAEISEELDKVKQEMEEKGSSMSDGAPVVKIRQSLTKLKQEIEQMDVRMGVVEHTLLQAKLREKNNMTRDMHATHLLEPNAQAY