A7G9W4 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbl4tb66muiiqq4gnkyw4dbvj7ldoadyesplurjiwtaheqdeim7e/metadata.json
IPFS of structure file: 
bafybeih7kinwudhvb7lv5yrvnnszjo6vjqn3or7ffijsjcevvd5hgt6xs4/AF-A7G9W4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE651A2B061FB7771bFB843238E8B9bBBaaA9AbbC
First NFT owner address (bech32): 
genesis1ueg69vrpldmhr0acgv3cazumhw42n2auzdyrd4
Current NFT ID #63530 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63530
Accession (UniProt):
A7G9W4
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Clostridium botulinum (strain Langeland / NCTC 10281 / Type F)

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 A7G9W4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7G9W4|CINA_CLOBL Putative competence-damage inducible protein OS=Clostridium botulinum (strain Langeland / NCTC 10281 / Type F) OX=441772 GN=cinA PE=3 SV=1 MKAEILCVGTELLLGDIVNTNAQYISKELANIGIEVYHHSVIGDNENRLLKELERAFNYCDLVITTGGLGPTKDDLTKESVAKFFQEDLVLHEKSLKQIEKRLLCFNKSMTESNKKQAYFPKNCEILENPNGTAPGFIIEKDNKIAIILPGPPYEMQPMFEKKVMPYLEKLTNCTIKSKVLRITGIGESDVADLISDILESQTNPTVAPYAKQGETTLRITAKANSEEKALNLIVPIEKKIRQILEDNIYGSGETSLEEVIANILVKRNLTIATAESCTGGLLAGKLINFPGISSVFLEGAITYSNESKINRLNVKKETLEKYTAVSKEVALEMAEGIAKSSGTNIGISTTGVAGPGGGTYDKPIGLVYIGLYINGKTFVKELNYSGNRQFIRNITVTRALDFLRRNLK