Q86XZ4 AF NFT

Spermatogenesis-associated serine-rich protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibep3vcosgpabl625qr7rctfg36h4zf3ji47y4sbrvckfovg3g6bi/metadata.json

IPFS of structure file:

bafybeiehjwhkktzfghtydwb74kh7conuf266mzk6fd5zo3cwljcew7cyay/AF-Q86XZ4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa5b9334999e853338500C52E820D8e89F7D0B7Ea

First NFT owner address (bech32):

genesis15kunxjveapfn8pgqc5hgyrvw38mapdl256t4hq

Current NFT ID #433695 owner (web3):

0xa5b9334999e853338500C52E820D8e89F7D0B7Ea

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433695
Accession (UniProt):
Q86XZ4
Name::
Spermatogenesis-associated serine-rich protein 2
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q86XZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86XZ4|SPAS2_HUMAN Spermatogenesis-associated serine-rich protein 2 OS=Homo sapiens OX=9606 GN=SPATS2 PE=1 SV=1 MSRKQNQKDSSGFIFDLQSNTVLAQGGAFENMKEKINAVRAIVPNKSNNEIILVLQHFDNCVDKTVQAFMEGSASEVLKEWTVTGKKKNKKKKNKPKPAAEPSNGIPDSSKSVSIQEEQSAPSSEKGGMNGYHVNGAINDTESVDSLSEGLETLSIDARELEDPESAMLDTLDRTGSMLQNGVSDFETKSLTMHSIHNSQQPRNAAKSLSRPTTETQFSNMGMEDVPLATSKKLSSNIEKSVKDLQRCTVSLARYRVVVKEEMDASIKKMKQAFAELESCLMDREVALLAEMDKVKAEAMEILLSRQKKAELLKKMTHVAVQMSEQQLVELRADIKHFVSERKYDEDLGRVARFTCDVETLKKSIDSFGQVSHPKNSYSTRSRCSSVTSVSLSSPSDASAASSSTCASPPSLTSANKKNFAPGETPAAIANSSGQPYQPLREVLPGNRRGGQGYRPQGQKSNDPMNQGRHDSMGRYRNSSWYSSGSRYQSAPSQAPGNTIERGQTHSAGTNGTGVSMEPSPPTPSFKKGLPQRKPRTSQTEAVNS

MOLNFT AF v1_w

NFT data

MOLNFT Q86XZ4 research and analysis (ICN3D with VR)

FASTA sequences

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