Q6KID8 AF NFT

Translation initiation factor IF-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidvqwmqj2qitdkcgdzglorpawz37kkj47qath55a3lzvtq3zyxawa/metadata.json
IPFS of structure file: 
bafybeifkoskawd5y4eucwiq5p6kmmy5ci3luong4rgvrj5nnq3lnssbhqa/AF-Q6KID8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFe7E83AaFCbE7E1BD9FE3dfFB4248d75065E3a82
First NFT owner address (bech32): 
genesis1lelg82huhelphk078hlmgfydw5r9uw5zxkjljn
Current NFT ID #185402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
185402
Accession (UniProt):
Q6KID8
Name::
Translation initiation factor IF-2
Experimental Method:
Predicted structure
Sequence source:
Mycoplasma mobile (strain ATCC 43663 / 163K / NCTC 11711)

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 Q6KID8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6KID8|IF2_MYCMO Translation initiation factor IF-2 OS=Mycoplasma mobile (strain ATCC 43663 / 163K / NCTC 11711) OX=267748 GN=infB PE=3 SV=1 MAIKKAKRKSNVEEVKTQLLEIKTELKDGVFTFTGPMTINEFSKKIKKQAKDVILHFFKQGKMYNANQIINEEEIAELCLEFDYEFKKEEQITVSNFMDTLVLSDEAKDLEERAPIITVMGHVDHGKTTLIDVIRKSKIVDTEAGGITQHTGAYQIEYNGKKITFIDTPGHEAFTQMRSRGAKVTDIVILVVAADDGVMPQTKEAIDHAKSANVPIIVFVNKMDKPNKDIDRILSALSTLDVVSEEWSGDTQFIYGSALKNQGIDKLFDAINLQAEILELKANRNRDAIGTIIESHLDKGKGSVSVLIVQNGTLTPRDFIVAGSQYGRIRSIEDTNGNSLDAAYPGTPVIVTGLNYVPNAGDRFIALSDESFAKNIAEQKAFVDKQAELISRNTIVVQDGIKVLNIILKADVQGIAEAIKSKLLEIKNEEVKINVVRSSVGAITKSDILLAQASNAIIFGFNIRATGGIKTFAEESRVIVKTHTIIYELLDEVNELLNGLKAPKFKEVVTGEARIKKIFFYSKVGNIAGCEVISGKVTSGTKMRLIRNGITVHEGILDSLQREKNQAREVLKGFEFGTHIKKFNDIKEDDIIQTFEDVQI