Q9V1G0 Translation initiation factor 2 subunit gamma MolNFT, Molecular NFT on GenesisL1

Translation initiation factor 2 subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid6jp5vumsftp6nhbbts3or5x7ugrohmnkc4n7giecpao2wjdhlsi/metadata.json

IPFS of structure file:

bafybeigw44wey3dobck3svtspnzkqffzyk3mas3dicpmcnvghkkemg7eaq/AF-Q9V1G0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9214cA90F08aadf9D1112C638d65a6ff2AF47f1b

First NFT owner address (bech32):

genesis1jg2v4y8s32kln5g3933c6edxlu40glcm4930al

Current NFT ID #184922 owner (web3):

0x18762eA40ffc26417675C60f0F519A7FC779932d

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
184922
Accession (UniProt):
Q9V1G0
Name::
Translation initiation factor 2 subunit gamma
Experimental Method:
Predicted structure
Sequence source:
PYROCOCCUS ABYSSI (STRAIN GE5 / ORSAY)

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 Q9V1G0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9V1G0|IF2G_PYRAB Translation initiation factor 2 subunit gamma OS=Pyrococcus abyssi (strain GE5 / Orsay) OX=272844 GN=eif2g PE=1 SV=1 MGEKRKSRQAEVNIGMVGHVDHGKTTLTKALTGVWTDTHSEELRRGITIKIGFADAEIRRCPNCGRYSTSPVCPYCGHETEFVRRVSFIDAPGHEALMTTMLAGASLMDGAILVIAANEPCPRPQTREHLMALQIIGQKNIIIAQNKIELVDKEKALENYRQIKEFIEGTVAENAPIIPISALHGANIDVLVKAIEDFIPTPKRDPNKPPKMLVLRSFDVNKPGTPPEKLVGGVLGGSIVQGKLKVGDEIEIRPGVPYEEHGRIKYEPITTEIVSLQAGGQFVEEAYPGGLVGVGTKLDPYLTKGDLMAGNVVGKPGKLPPVWDSLRLEVHLLERVVGTEQELKVEPIKRKEVLLLNVGTARTMGLVTGLGKDEIEVKLQIPVCAEPGDRVAISRQIGSRWRLIGYGIIKE

Q9V1G0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9V1G0 research and analysis (ICN3D with VR)

FASTA sequences

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