Q95KI3 AF NFT

Endothelial cell-selective adhesion molecule

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5lmdeqklu3vupknqoare5xtymcmtg6gdg246ddoxofjxe35oxiu/metadata.json
IPFS of structure file: 
bafybeiacj3b55ro4tcwt6f2ecbrv5fnq7zchul2hzeyzb2zebktcwd7tee/AF-Q95KI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x564AA69Ea37cc6110e2E0826D8DB19f7e606b966
First NFT owner address (bech32): 
genesis12e92d84r0nrpzr3wpqnd3kce7lnqdwtxuh38d2
Current NFT ID #120458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
120458
Accession (UniProt):
Q95KI3
Name::
Endothelial cell-selective adhesion molecule
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q95KI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95KI3|ESAM_MACFA Endothelial cell-selective adhesion molecule OS=Macaca fascicularis OX=9541 GN=ESAM PE=2 SV=1 MISLPGPLVTNLLRFLFLGLSALAPPSRAELQLHLPANQLQAVEGGEVVLPAWYTLHAEVSSAQPGEVPFVMWFFKDKEKEDQVLSYINGVTTSKPGVSLVYSMPSRNLSLRLEGLQEKDSGPYSCSVNVQDKNGQASGHSIKTLELNVLVPPAPPSCRLQGVPRVGANVTLSCQSPRSKPAVQYQWDRQLPSFQTFFAPVLDVIRGSLSLTNLSSSMAGVYVCKAHNEVGTAQCNVTLEVSTGPGAAVVAGAVVGTLVGLGLLAGLVLLYHRRGKALEEPANDIKEDAIAPRTLPWPKSSDTISKNGTLSSVTSARALRPPHGPPRPGALTPTPSLSSQALPSPRLPTTDGANPQPISLIPGGVSSSGLSRMGAVPVMVPAQSQAGSLV