C0M937 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeianfpyj7naw6fzkp26l36gj72qgrky7ahzxh4fizqelwibdirpxlm/metadata.json
IPFS of structure file: 
bafybeigk5tgy6neojp2qsas7iwjkmkgsvdptk4fx7rqfzpf4ac4rkb6pvm/AF-C0M937-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5A5f617b5f7A19DF653B3530c1C72bf12240602A
First NFT owner address (bech32): 
genesis1tf0kz76l0gva7efmx5cvr3et7y3yqcp2u7rw78
Current NFT ID #111742 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111742
Accession (UniProt):
C0M937
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Streptococcus equi subsp. equi (strain 4047)

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 C0M937 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0M937|EFG_STRE4 Elongation factor G OS=Streptococcus equi subsp. equi (strain 4047) OX=553482 GN=fusA PE=3 SV=1 MAREFSLAKTRNIGIMAHVDAGKTTTTERILYYTGKIHKIGETHEGASQMDWMEQEQERGITITSAATTAQWDGHRVNIIDTPGHVDFTIEVQRSLRVLDGAVTVLDSQSGVEPQTETVWRQATEYGVPRIVFANKMDKIGADFLYSVQTLHDRLQANAHPIQLPIGSEDDFRGIIDLIKMKAEIYTNDLGTDILEEDIPEEYLEQAQEYREKLIEAVAETDEDLMMKYLEGEEITNEELVAGIRKATINVEFFPVLCGSAFKNKGVQLMLDAVIAYLPSPLDIPAIKGVNPDTDAEEERPASDEEPFAALAFKIMTDPFVGRLTFFRVYSGVLNSGSYVMNTSKGKRERIGRILQMHANSRQEIETVYAGDIAAAVGLKDTTTGDSLTDEKAKIILESIEVPEPVIQLMVEPKSKADQDKMGIALQKLAEEDPTFRVETNVETGETVIAGMGELHLDVLVDRMRREFKVEANVGAPQVSYRETFRASTQARGFFKRQSGGKGQFGDVWIEFTPNEEGKGFEFENAIVGGVVPREFIPAVEKGLIESMANGVLAGYPMVDVKAKLYDGSYHDVDSSETAFKIAASLALKEAAKTAQPAILEPMMLVTITAPEDNLGDVMGHVTARRGRVDGMEAHGTSQIVRAYVPLAEMFGYATVLRSATQGRGTFMMVFDHYEDVPKSVQEEIIKKNKGE