Q635K7 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigr5eeeoue5qu3fqwz2ynh2zatomatetfxc3p5moq3hab4okler7a/metadata.json

IPFS of structure file:

bafybeibujbqs4acgsetf47iadm53adni65aasv32t6fqvz7lasrzekb34u/AF-Q635K7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7

First NFT owner address (bech32):

genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm

Current NFT ID #433337 owner (web3):

0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433337
Accession (UniProt):
Q635K7
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q635K7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q635K7|SP2AB_BACCZ Anti-sigma F factor OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGVVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN

MOLNFT AF v1_w

NFT data

MOLNFT Q635K7 research and analysis (ICN3D with VR)

FASTA sequences

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