Q72H31 AF NFT

Nucleotide-binding protein TT_C1664

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgq5bl32eeuucfk6v2jdcbz7qu5ji5gchmqhvshn4jros4ip362a/metadata.json
IPFS of structure file: 
bafybeig7z3rhebvd5zjrxu2hfpey7knmbqcvdkjwdftmj6nuawjv2obhxu/AF-Q72H31-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #508590 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508590
Accession (UniProt):
Q72H31
Name::
Nucleotide-binding protein TT_C1664
Experimental Method:
Predicted structure
Sequence source:
Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27)

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 Q72H31 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72H31|Y1664_THET2 Nucleotide-binding protein TT_C1664 OS=Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27) OX=262724 GN=TT_C1664 PE=3 SV=1 MRFLVLTGLSGAGKTTARGFLEDLGYFMVDNLPPRLWPPLLQEAAARGLARVGVVVDARALAFFQDLEEVLEALRPTVVYLEARPEVLLRRYNLTRRVHPLGAGNLMREIAEERRALAGLRGRAHLVVDTSELSPRGLKEALARFLGEEGGFLLRLVSFGFKWGPPQEADLVLDVRPLPNPHYDPALRPRTGLDPEVRRYVFSEAAEPYYRALLAVAGLAAEGARAEGRAFYTVAVGCTGGRHRSVAVAERLAEELSGRFAVEVVHRDVEREG