Q97D94 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiew2f7rkuamzihjlllpl7c56gmusjw2gjzwtea7kfepgksofgfnx4/metadata.json
IPFS of structure file: 
bafybeifncxmteb7h2ucw3melq3dvowxavmqgvqihgwsw5wtfzwm6i6saiu/AF-Q97D94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD3bd538a46188944C950E380231DCb1ca8D2468D
First NFT owner address (bech32): 
genesis16w748zjxrzy5fj2suwqzx8wtrj5dy35dygmlyz
Current NFT ID #63524 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63524
Accession (UniProt):
Q97D94
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM ACETOBUTYLICUM (STRAIN ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787)

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 Q97D94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97D94|CINA_CLOAB Putative competence-damage inducible protein OS=Clostridium acetobutylicum (strain ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787) OX=272562 GN=cinA PE=3 SV=1 MKVEILCVGTELLLGDILNTNAQFLAKEFGAMGFSMYHQAVVGDNVERLKREFELAINRADIVVTTGGLGPTDDDLTKETAAEYFNKKLIFHKESYDEIVKFFNKIGKEISENNKKQAYFPEGCTILKNDHGTAPGCIIDENDKVVILLPGPPREIIPMFRNYVIPYLRKYQEGTIVSKVLRVCGIGESGAAEMLKDLIDNQTNPTIAPYAKDNEVTFRITAKAESEEVAMKLIEPMERKVRERLKENVYGVGDTSLEDVLGAMLIEKKLTIATAESCTGGLLSGRLINYPGISEVFMEGAVTYSNEAKMNRLGVKKETLESYGAVSSETAAEMAKGIAKTAGTNIGVSTTGVAGPGGGTKEKPVGLVYVGLCINGKVKTRKLNMPGDRQTVRNRVVNAVIDWIRREIINL