E7F555 AF NFT

Intraflagellar transport protein 43 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvxbnaz4h3zbfrkbw4hgyvbyd66l25vkohxput3kqtaryaip5kpi/metadata.json
IPFS of structure file: 
bafybeifrjaa4qhiwbry26qirfh53zjkawkmh3tbu7kpyt4vngqmcsn3lsi/AF-E7F555-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBDaba9F1bAE78Bc8b4574B9BB809390289445980
First NFT owner address (bech32): 
genesis1hk46nud6u79u3dzhfwdmszfeq2y5gkvqfl30w9
Current NFT ID #186708 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
186708
Accession (UniProt):
E7F555
Name::
Intraflagellar transport protein 43 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 E7F555 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E7F555|IFT43_DANRE Intraflagellar transport protein 43 homolog OS=Danio rerio OX=7955 GN=ift43 PE=3 SV=2 MDDNLQLADGGFTKNVARSGRRARQSAEMMSAEDSRQRRSSSSISTAAEGPPPKPTRRQGGWAEESSTTTNVRSGRRAAAEEPEDRRLRPQTPEGSDNESGEDIPVIPDLEEVQEEDLTMQIAAPPSVQVNRVMTYRDLDNDLMKFSAFQTLDGEIDLKLLTKVLAPEQEVREEDVGWDWDHLEVSSELQSEWDEGDREDQSPLPVCV