Q9R1N9 AF NFT

Collagen alpha-1(XIII) chain

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifp7uuzkx3jmz5erz4j7hf5m2tbyyk76fmqvx4k6e7ehrbcpn3hxy/metadata.json
IPFS of structure file: 
bafybeiblzyybgo33hlyzb2safzzhoepgoumbsqemqv34burco5nkpnbv2u/AF-Q9R1N9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x885b3C9522Bc4aE586dd121409A62Ec83F58cfe2
First NFT owner address (bech32): 
genesis13pdne9fzh39wtpkazg2qnf3weql43nlz5d0hcv
Current NFT ID #71631 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
71631
Accession (UniProt):
Q9R1N9
Name::
Collagen alpha-1(XIII) chain
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 Q9R1N9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9R1N9|CODA1_MOUSE Collagen alpha-1(XIII) chain OS=Mus musculus OX=10090 GN=Col13a1 PE=2 SV=1 MVAERTRKAAASGSRGPGELGAPGPGTVALAEQCARLPSPGCCGLLALALCSLALSLLAHFRTAELQARVLRLEAERGEQQMEKAILGRVNQLLDEKWKFYSRRRREAPKMSPGCNCPPGPPGPTGRPGLPGDKGAIGMPGRVGIKGQPGEKGAPGDAGMSIVGPRGPPGQPGTRGFPGFPGPIGLDGRPGHPGPKGEMGLVGPRGQPGPQGQKGEKGQCGEYPHREYPGGMLAALRSNPIMSLKLLPLLNSVRLAPPPVIKRRTFQGEQSQTGIQGPPGPPGPPGPSGPLGHPGLPGPIGPPGLPGPPGPKGDPGIQGYHGRKGERGMPGMPGKHGAKGVPGIAVAGMKGEPGTPGTKGEKGAAGSPGLLGQKGEKGDAGNAIGGGRGEPGPPGLPGPPGPKGEAGVDGQAGPPGQQGDKGQPGAAGEQGPSGPKGAKGEPGKGEMVDYNGSINEALQEIRTLALMGPPGLPGQTGPPGPPGTPGQRGEIGLPGPPGHDGDKGPRGKPGDMGPAGPQGPPGKDGPPGMKGEVGPPGSPGEKGETGQAGPQGLDGPTGEKGEPGDEGRPGATGLPGPIGLPGFTGEKGEAGEKGDPGAEVPGPPGPEGPPGPPGLQGFPGPKGEAGLEGSKGEKGSQGEKGDRGPLGLPGASGLDGRPGPPGTPGPIGVPGPAGPKGERGSKGDPGMTGPTGAAGLPGLHGPPGDKGNRGERGKKGSRGPKGDKGDQGAPGLDAPCPLGEDGLPVQGCWNK