B7HDT6 AF NFT

Translation initiation factor IF-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihg2ejw2e6itvnviher7a7jdnos46l7cnfjgbhf7ezzk4nqkv72we/metadata.json
IPFS of structure file: 
bafybeibu2faxwenpnpy6sh4fda752fsxe7obyyxxbs7l4aiq7rruo5pzha/AF-B7HDT6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #185055 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
185055
Accession (UniProt):
B7HDT6
Name::
Translation initiation factor IF-2
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7HDT6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HDT6|IF2_BACC4 Translation initiation factor IF-2 OS=Bacillus cereus (strain B4264) OX=405532 GN=infB PE=3 SV=1 MSKIRVHEYAKKHNISSKDLMTKLKEMNIEVSNHMTMLDDEVVNKLDNEYQTEKPSVADEFEVEEKVVRSKKNSNKKKKKGKGNEDKRQENFAGRQQTQIVETPDKITFSGSLTVGDLAKKLSKEPSEIIKKLFMLGIMATINQDLDKDTIELIANDYGIEVEEEVIVSETEFETFIDEQDDEENLKERPAVVTIMGHVDHGKTTLLDSIRNSKVTAGEAGGITQHIGAYQVEVNDKKITFLDTPGHAAFTTMRARGAQVTDITILVVAADDGVMPQTVEAINHAKAAGVPIIVAVNKMDKPAANPDRVMQELTEYELVPEAWGGDTIFVPISAIQGEGIDNLLEMILLVSEVEEYKANPNRYATGTVIEAQLDKGKGTIATLLVQNGTLRVGDPIVVGTSFGRVRAMVSDIGRRVKVAGPSTPVEITGLNEVPQAGDRFMAFADEKKARQIGESRAQEALVAQRGEKSKLSLEDLFQQIQEGDVKEINLIVKADVQGSVEAMAASLRKIDVEGVKVKIIHTGVGAITESDIILASASNAIVIGFNVRPDVNAKRTAELENVDIRLHRIIYKVIEEIEAAMQGMLDPEFEEKVIGQAEVRQTFKVTKVGTIAGCYVTDGKITRDSGVRIIRDGVVIFEGQLDTLKRFKDDVKEVAQNYECGITIERYNDLKEGDIIEAYIMEEVKR