Q62847 AF NFT

Gamma-adducin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxntpm3aolwsq3b4czf3vpd4xxjxxp63a2qbgitnzitxzyz37zwi/metadata.json
IPFS of structure file: 
bafybeib7tff5doejfhfgzqbuzgjjuwbokoym3iyxpmkj27bbnfbpuyahum/AF-Q62847-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB698B1521Dfa7d9694657b138eED660997a131C5
First NFT owner address (bech32): 
genesis1k6vtz5salf7ed9r90vfcamtxpxt6zvw99cljju
Current NFT ID #9709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
9709
Accession (UniProt):
Q62847
Name::
Gamma-adducin
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q62847 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62847|ADDG_RAT Gamma-adducin OS=Rattus norvegicus OX=10116 GN=Add3 PE=1 SV=2 MSSDSSQAVITTPPPPSMPHKERYFDRINESDPEYLRERNMSPDLREDFNMMEQRKRVTQILQSPAFREDLECLTQEQMKKGHDPTGLLALQQIADYIMANSFTGFSSPPLSLGMVTPINDLPGADTSSYVKGEKLTRCELASLYRLADLFGWAHLANTYISVRVSKEQDHIIIIPRGLPFSEATASALVKVNIIGEVVDQGSTNLKIDHSGFSPHAAIYSTRPDVKCVIHIHTLATAAVSSMKCGILPISQESLILGDVAYYDYQGSLDEEEERIELQKVLGPSCKVLVLRNHGVVALGETLEEAFHYIFNVQMACEIQVQAVAGAGGVDNLLILDLQKYKAFTHGVAMTGGGGVNMGSHQKWKVGEIEFEGLMRTLDNLGYRTGYAYRHPLVREKPRHKSDVEIPATVTAFSFEDDSVPLSPLKYMAQRQQREKTRWLNSPNTYMKVNVPEESRNGETSPRTKITWMKAEDPSKVSSGTPIKIEDPNQFVPLNTNPTEVLEKRNKIREQNRYDLKTAGPQSQLLAGIVVDKPPSTMRFEDDDQGPPAPPNPFSHLMEGELEEYTKTIERQQQGLDDAEQESLSDDAASVSQIQSQTQSPQSVPERLEENHELFSKSFTSVDVPVIVNGKDEMHDVEDELAQRVSRLTTSTTIENIEITIKSPDRTEEVLSPDGSPSKSPSKKKKKFRTPSFLKKNKKKEKVEA