Q6IWL4 AF NFT

TNF receptor-associated factor 6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihedextngywt3eongrkjowue3e3s3anlc7vyl3cyfxvwqmanrxnje/metadata.json
IPFS of structure file: 
bafybeiadnyki6tuc2r625bpqakecj4lpdo76kfervrrmavw7adtumzbcpu/AF-Q6IWL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC1C81C5d9568Be2795E0Bd2e795B6bD277CaDb67
First NFT owner address (bech32): 
genesis1c8ypchv4dzlz090qh5h8jkmt6fmu4km8zfzmlv
Current NFT ID #472220 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
472220
Accession (UniProt):
Q6IWL4
Name::
TNF receptor-associated factor 6
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 Q6IWL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IWL4|TRAF6_DANRE TNF receptor-associated factor 6 OS=Danio rerio OX=7955 GN=traf6 PE=1 SV=2 MACNDVDKSSFDDVCCDSGHSSCAAAMEKERESFLSPTENPSTISVSSSMPPDQQGYDVEFDPPLESKYECPICLMGLRSAVQTPCGHRFCDSCIRKSIRDTGQKCPVDNEVLLEEQLFPDNFAKREILSLTVKCSNFGCSEKMELRQLEKHLSQCRFATAPCPQCQESVPISHLDEHKSQHCLQRIMTCPDCAGSFVYAVKQNHEQFCPFANTVCEYCEMELIRDQLALHCDTDCLKAPVACTFSTFGCREKMTRNELAQHMQEFTQMHMRYMAEFLRSQTLNNCTMPSAAAHLSSDDRGASARSPDSCQCKQELLNLRETVLELEGRLVRQDQQIRELCIHNDTQKNQVTELRRKLVSLEESTRELEAQQYQGIYVWRVENFSHHLRNQEAGQPIVLHSPPFYTGRPGYKLCLRLHLQTPSAPRCSNFISLFVHTMQGEFDSQLSWPLQGTIRLAVLDQVEGQHHIEVMETKPDLQAFQRPTVMRNPKGFGYVTFLHLQALRQRGFVKEDVLLVRCEVTPRFDASLRREGVQPRGPEPSI