Q5R4T7 AF NFT

McKusick-Kaufman/Bardet-Biedl syndromes putative chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblr7bhefxzvvgb5l2inmwcdakjgn7nqtrdp5c4qomxptx7o564vi/metadata.json
IPFS of structure file: 
bafybeif6bo2ugfz67grhadhunkkrgz6lynzc67x7aejzeoao24gnn3pfp4/AF-Q5R4T7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFBD832B6A70A30ce7023DA027877563120032929
First NFT owner address (bech32): 
genesis1l0vr9d48pgcvuuprmgp8sa6kxysqx2fffljjkk
Current NFT ID #236437 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
236437
Accession (UniProt):
Q5R4T7
Name::
McKusick-Kaufman/Bardet-Biedl syndromes putative chaperonin
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R4T7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R4T7|MKKS_PONAB McKusick-Kaufman/Bardet-Biedl syndromes putative chaperonin OS=Pongo abelii OX=9601 GN=MKKS PE=2 SV=2 MSRLEAKKPSLCKSEPLTTERVRTTLSVFKRIVTSCYGPSGRLKQLHNGFGGYVCTTSQSSALLSHLLVTHPILKILTTSIQNHVSSFSDCGLFTAILCCNLIENVQRLDLTPTTVIRLNKHLLSLCISYLKSETCGCRIPVDFGSTQILLCFVRSVLTSKPACMLTRKETEHVSALILRAFLLTIPENAEGHIILGKSLIVPLKGQRVIDSTVLPGILIEMSEVQLMRLLPIKKSTALKVALFCTTLSGDISDTGEGTVVVSYGVSLENAALDQLLNLGRQLISDHVDLVLCQKVIHPSLKQFLNMHRIIAIDRIGVTLMEPLTKMTGTQPIGSLGSISPNSYGSVKDVCTAKFGSKHFFHLIPNEATICSLLLCNRNDTAWDELKLTCQTALHVLQLTLKEPWALLGGGCTETHLAAYIRHKTHNDPESILKDDECTQTELQLIAEAFCSALESVVGSLEHDGGEILTDMKYGHLWSVQADSPCVANWPDLLSQCGCGLYNSQEELNWSFLRSTRRPFVPQTCLPHEAVGSASNLTLDCLTAKLSGLQVAVETANLILDLSYVIEDKN