O32727 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifmetgx44fv2g3bhygvzditk4gfiiikkgunbabqpm7ercpykcr42y/metadata.json

IPFS of structure file:

bafybeifh5ck5hwsmpwny7iknzbgtrhgopnpsf36afjokvqwzemdk7rruqi/AF-O32727-F1-model_v2.pdb

First NFT owner address (eip-55):

0x2860EAad4912B1169fF25F4532Ce490B282C1755

First NFT owner address (bech32):

genesis19psw4t2fz2c3d8ljtazn9njfpv5zc9643zecgc

Current NFT ID #433358 owner (web3):

0x944f0A419Cb6d1485085105cB3499d49E5BF991A

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433358
Accession (UniProt):
O32727
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS STEAROTHERMOPHILUS

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 O32727 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O32727|SP2AB_GEOSE Anti-sigma F factor OS=Geobacillus stearothermophilus OX=1422 GN=spoIIAB PE=1 SV=1 MRNEMHLQFSARSENESFARVTVAAFVAQLDPTTDELTEIKTVVSEAVTNAIIHGYNNDPNGIVSISVIIEDGVVHLTVRDEGVGIPDIEEARQPLFTTKPELERSGMGFTIMENFMDEVIVESEVNKGTTVYLKKAYCEKQTLCN

MOLNFT AF v1_w

NFT data

MOLNFT O32727 research and analysis (ICN3D with VR)

FASTA sequences

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