A1CLY6 AF NFT

Cytochalasin cluster regulator ccsR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieixxtuaciudg3vvpmkh37lwxjyfl3iwsmlhjiaq7vyngm5pmktnm/metadata.json
IPFS of structure file: 
bafybeiardsnie74s6vflmmvilf6x2tfnrxhxrw4c5rmmfb3ex5almmefea/AF-A1CLY6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #55927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
55927
Accession (UniProt):
A1CLY6
Name::
Cytochalasin cluster regulator ccsR
Experimental Method:
Predicted structure
Sequence source:
Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107)

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 A1CLY6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1CLY6|CCSR_ASPCL Cytochalasin cluster regulator ccsR OS=Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107) OX=344612 GN=ccsR PE=3 SV=2 MVRNMDLYRRSACDRCRRQKLRCVRPLKHGACEHPNNIEALEPCERCSRAGTPCVSTLPPPRKLSRVERLSGLTSVGQLDNLPLQPLIPKQASSHRPGSGSAKSCIPPTGQNKGINDANAVTGSLSMPLPDHRSGSNVHRQPEARPLKRRSRDIHPFGTGSPPTELLDAPSFSTRRSPIFSQAEPFALNDLDFAMQPHSGGDLPSHGDDLFADVLFSPHQKPPAGPTVGESLFDNTKAQELDTRECCLRRLTSLSSRLFHDFNNTNSVKLPDLLSFSPCRNLTAPNQATDCPQNIIGRVLESSHTFLDILHGLAPDPRPTSSSDSECSYSNYWEDDEFVPISDEMTYNSTSARPEFRDSSDMCASSSNRDSSDLSAASPTIDMPTTLTILTCYTWLLQAYDTIFSQIYSSLLAGTDSTSPSMPPVLPGLQIGGFSLDQHCDLQIEILIQLSARMLDRIEGKLGVTDTKDSNAPVDDQEWSRNGSILDTASASTILDALFKQNHSETRAKPGKGARAGSVRNIMKNIRAELTVHK