Q65HU3 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihov4ro5yqn5i77msor5fh7hmoviod2osevfkwexqcs4ksgwd4gue/metadata.json

IPFS of structure file:

bafybeigro2c4v2wzruatoe3lk2tfzxb2yu3tispb6vphc4qc33pznjwc4e/AF-Q65HU3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x1C58DD8e416a8a24De87b52650Fb18F94DAEd1db

First NFT owner address (bech32):

genesis1r3vdmrjpd29zfh58k5n9p7ccl9x6a5wmj53gpc

Current NFT ID #433339 owner (web3):

0x1C58DD8e416a8a24De87b52650Fb18F94DAEd1db

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433339
Accession (UniProt):
Q65HU3
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65HU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65HU3|SP2AB_BACLD Anti-sigma F factor OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=spoIIAB PE=3 SV=1 MKNEMNIQFTALSQNESFARVTVAAFIAQLDPTMDELTEIKTVVSEAVTNAIIHGYENSGQGNVYISVTLEDHIVYLTIRDEGVGIPNLEEARQPLFTTKPELERSGMGFTIMENFMDDISIDSSPEMGTTIHLTKHLSKSKALCN

MOLNFT AF v1_w

NFT data

MOLNFT Q65HU3 research and analysis (ICN3D with VR)

FASTA sequences

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