A4XLD7 AF NFT | MOLNFT bioinformatics, blockchain

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie4d5nrsxj56pkvznohkmj6g73pm7rkmygqhe2sa5lcniyg34bv3u/metadata.json

IPFS of structure file:

bafybeiaywlgvldepijue7stsdkp4g75mzih7gzfybnnx5nis4rwwmwvzwa/AF-A4XLD7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xC96bf460fCE06DE673487c108d3C845a605dCf24

First NFT owner address (bech32):

genesis1e94lgc8uupk7vu6g0sgg60yytfs9mneyme7qaw

Current NFT ID #63522 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63522
Accession (UniProt):
A4XLD7
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Caldicellulosiruptor saccharolyticus (strain ATCC 43494 / DSM 8903 / Tp8T 6331)

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 A4XLD7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4XLD7|CINA_CALS8 Putative competence-damage inducible protein OS=Caldicellulosiruptor saccharolyticus (strain ATCC 43494 / DSM 8903 / Tp8T 6331) OX=351627 GN=cinA PE=3 SV=1 MMAEIICVGTELLLGQIVNTNAQYLSQRLASLGIDLYFQTTVGDNLNRLKGAIDIALKRSDILIFTGGLGPTSDDITKEAVCEYFGKKLILNQEVLDKIEKYFKHRGVKMPEINKKQAYVPEGSIILENRHGTAPGFIIENDGKIAILLPGPPFEMQPMFEEYVVPYLEKFSKEKIYSRVLKFIGIGESSIEERLSELIHNQSDPSLALYAKPFEVELRISTKKSDEAVAKDILDQMESKIRALLGEYIYGIDNQTLEEVVVEMLMQKGLKVSVAESCTGGLICNKITNVPGASNVFDRGFITYSNEAKVKELGVSEETLKNFGAVSHEVAKQMAQGALKTSLADIAISTTGIAGPTGATETKPVGLVYIGVATKNYVDSFEFRFSGDRLRIKEAASKAALDVLRKTIINY