Q80U23 AF NFT | MOLNFT bioinformatics, blockchain

Syntaphilin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibpeecfr2rkzyduz363osea56yebhc3tun5jdoz5x5sr5dllcsyei/metadata.json

IPFS of structure file:

bafybeibhbnha7raaozbkvpnf7zturfxpwymtmigczvbtiuumov3yw542pa/AF-Q80U23-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd1bEB3c354d8bf0628D9b9a868c8de9Ff3D9C8a9

First NFT owner address (bech32):

genesis16xlt8s65mzlsv2xehx5x3jx7nleanj9f4n250c

Current NFT ID #431846 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
431846
Accession (UniProt):
Q80U23
Name::
Syntaphilin
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 Q80U23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80U23|SNPH_MOUSE Syntaphilin OS=Mus musculus OX=10090 GN=Snph PE=1 SV=3 MAMSLQGSRRASAGSRRRTSPPVSVRDAYGTSSLSSSSNSGSCKGSDSSPTPRRSMKYTLCSDNHGIKPPTPEQYLTPLQQKEVCIRHLKARLKDTQDRLQDRDTEIDDLKTQLSRMQEDWIEEECHRVEAQLALKEARKEIRQLKQVIDTVKNNLIDKDKGLQKYFVDINIQNKKLETLLHSMEVAQNGVAKEEGTGESAGGSPARSLTRSSTYTKLSDPAVCGDRQPGDPSNTSAEDGADSGYVAADDTLSRTDALEASSLLSSGVDCGLEEASLHSSFNLGPRFPASNTYEKLLCGMEAGVQVSCMQERAIQTDFVQYQPDLNTILEKVGQAQVCGSVLKDRHSELDPHPSGPRDPDSAVVVTVGDELEAPEPITCGPATHRPAVNSNPGLPVSVVCPVEEEEEEAAAATTTEKEPKSYWSRHYIVDLLAVVVPAVPTVAWLCRSQRRQGQPIYNISSLLRGCCTVALHSIRRISCRSLGQPSSSTAGGSQL