Q03ZG8 Recombination protein RecR MolNFT, Molecular NFT on GenesisL1

Recombination protein RecR

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidmghnvewspk2s3bhnlhqnylhgdkq7dk3fzt5djaflafyky6wbrsy/metadata.json

IPFS of structure file:

bafybeiczkugf2tmuvzjlhhefrdxge3vqctg3eesdflcdsecm7w3kropc4m/AF-Q03ZG8-F1-model_v2.pdb

First NFT owner address (eip-55):

0x21ec5109EE01C0d4D6bcB2E62cbe36fe671Fafd7

First NFT owner address (bech32):

genesis1y8k9zz0wq8qdf44uktnze03klen3lt7hs2n38j

Current NFT ID #338165 owner (web3):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
338165
Accession (UniProt):
Q03ZG8
Name::
Recombination protein RecR
Experimental Method:
Predicted structure
Sequence source:
Leuconostoc mesenteroides subsp. mesenteroides (strain ATCC 8293 / DSM 20343 / BCRC 11652 / CCM 1803 / JCM 6124 / NCDO 523 / NBRC 100496 / NCIMB 8023 / NCTC 12954 / NRRL B-1118 / 37Y)

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 Q03ZG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03ZG8|RECR_LEUMM Recombination protein RecR OS=Leuconostoc mesenteroides subsp. mesenteroides (strain ATCC 8293 / DSM 20343 / BCRC 11652 / CCM 1803 / JCM 6124 / NCDO 523 / NBRC 100496 / NCIMB 8023 / NCTC 12954 / NRRL B-1118 / 37Y) OX=203120 GN=recR PE=3 SV=2 MQYPEPIAKLIDSYTKLPGIGPKTATRLAFYTLGMNEEDVQDFSKALISAKTDLTFCSICGNITATDTDPCVICRDQSRDQSTVFVVENSRDVMAMENTRDYHGLYHVLNGVISPSAGTGPEDINLPSLIRRLSEHEEIKEVIVGTNANAEGEATAMYLARLLKPAGIAVTRLAHGLAVGSDIDYADELTLIKAVQGRTKL

Q03ZG8 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q03ZG8 research and analysis (ICN3D with VR)

FASTA sequences

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