Q03R28 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhkzllxkx7eviguyvttetifzdcja7hbwuni4fbt4ep4vod23vsty/metadata.json
IPFS of structure file: 
bafybeigzepzlhjujvaz65r4sywukra7gwuf5doop3c32o7gtjd5pgxgswi/AF-Q03R28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #63552 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63552
Accession (UniProt):
Q03R28
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947)

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 Q03R28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03R28|CINA_LEVBA Putative competence-damage inducible protein OS=Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947) OX=387344 GN=cinA PE=3 SV=1 MQAEIIAVGTEILLGQIVDTNSAFIARELAEAGIEVYYHSLVGDNATRLTAVVEQARSRSDLVIISGGLGPTKDDLTKQTVAHLLGVKLVEDALAMAKIRRRFAINGREMTPNNRLQALYPAGSQPLANRTGLAVGAFYQDPDGADIMLLPGPPSETEPMFREQALPLLKQTYPRSEYLSSRVLRFFGIGESQLVTQLSDLIDQQTNPTIAPYAKVNEVTLRLTAQAPDEMQGQRLLDDLTATIKARVGDYLYGYGDDNSLAAVVVQTLIDRQLTITAAESLTAGQFQSTLGSVPGVSAVFPGGFVTYAASAKHDLLGVSQATIDQDGVVSAATAKEMASRSRERLDTDFSLSFTGVAGPDALEGQPAGTVWLGLAQRGQQPQAKLLHLTGTRSAIRERSVLTGLDWLRRTLQKVK