Q9DGK4 AF NFT

Translationally-controlled tumor protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasadjmhludpt5c2wfdifa7cb2v6huj62ayqse66r27h5fjbqt25y/metadata.json
IPFS of structure file: 
bafybeifrmhuynkjhhjohqtzm2xlwzknaidpqsakda26jttf7lklr6duyxi/AF-Q9DGK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #460257 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
460257
Accession (UniProt):
Q9DGK4
Name::
Translationally-controlled tumor protein 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 Q9DGK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DGK4|TCTP_DANRE Translationally-controlled tumor protein homolog OS=Danio rerio OX=7955 GN=tpt1 PE=2 SV=1 MIIYKDIITGDEMFSDIYKIKESENGMMLEVEGKMITRAEGDIDDALIGGNASAEVADEGCDSTSVSGVDIVLNHKLQETSYDKKSYTAYIKDYMKAVKAKLQESAPNRVDPFMANAPAEVKKILGNIKNFQFFTGESMNPDGMIGLLDFREDGVTPYMIFFKDGLEIEKC