A4Q9F3 AF NFT

Protein polyglycylase TTLL10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwk6rq7hgg2utg6paomholcrkoti66u4a6eikvjg7jkhn46yw6pa/metadata.json
IPFS of structure file: 
bafybeiavevoevsnwiaeeq4ml7gx22mxqboqzyk7ctm6zo55lxujv6xb4mu/AF-A4Q9F3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #481852 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
481852
Accession (UniProt):
A4Q9F3
Name::
Protein polyglycylase TTLL10
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 A4Q9F3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4Q9F3|TTL10_MOUSE Protein polyglycylase TTLL10 OS=Mus musculus OX=10090 GN=Ttll10 PE=1 SV=1 MALHPQAGRPHRDGSEAQAEAAAQDLGRLPSPSKVGAAVCRIQGLGHRAARRPRRGIGTTSASRVPRPGALMPATRNRPRFIHCRGQPPRTRVSSKRSKRSRIHPCHTEVPGWTHEKQMGSSVKERLRPELSQLDQDADDLEEEEAARLPVTSPDGLLMEGDKQPSPGQGPFFYIGGTNGASIISNYCESKGWQRTQDSHCEDYKLKWCEIKCRDNYCSFREGQQLLFQLPNNKLLTTKIGLLSALREHARTLSKARMLPSTQTKVLKMEEFFPETYRLDIRDERQAFFALFDETQMWICKPTASNQGKGIFLIRSQEEAAALQAKTQSIEDDPIYRKMPFRAPQARVVQRYVQNPLLLDGKKFDVRSYMLIACAMPYMVFFGHGYARLTLSLYNPHSSDLSGHLTNQFMQKKSPLYTLLKESTVWTMEHLNRYINDKFRKTKGLPRDWVFTTFTKRMQQIMSHCFLAVKSKLECKLGYFDLIGCDFLIDENFKVWLLEMNANPALHTNCEVLKAVIPGVVIETLDLALETCQKSLHSQKMLPLLSQRRFVLLYNGETTDLWPRLASSRPLNRLPNPNPNPNPNANPHPHPHPNPHPHPNPHPNANPHPPRPTCEAASSALSSARAAISERPGARKSMPSRGAPVCTPRKSRLSDSSGSSIAESEPSLCSGSLEGSRDTAREPSLGPPEEEREEEQRSTSHRGS