Q757M7 AF NFT

NAD-dependent histone deacetylase SIR2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwqjz4qv2ida45c6iy6poi5ecxwyzm3v7yyznefnbsktq4g2s7py/metadata.json
IPFS of structure file: 
bafybeig5nn4tpm5v23jizg6mdvpqanwnp35yqx4pzy4tuhmmdd4323cywm/AF-Q757M7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x627DfEbfC08CCF86E151D6C3143e17Eada033427
First NFT owner address (bech32): 
genesis1vf7la07q3n8cdc236mp3g0shatdqxdp8kmnu87
Current NFT ID #429151 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
429151
Accession (UniProt):
Q757M7
Name::
NAD-dependent histone deacetylase SIR2
Experimental Method:
Predicted structure
Sequence source:
ASHBYA GOSSYPII (STRAIN ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056)

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 Q757M7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q757M7|SIR2_ASHGO NAD-dependent histone deacetylase SIR2 OS=Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) OX=284811 GN=SIR2 PE=3 SV=1 MSESASMLQGSKRGTDSSVDVGGAKRTKVDMDDGSSSNNDEKELLEATKADELDEVVDDYAEQNDHSAQEVAGEYVPKKPEQPIMLTKDSNSGKYVFPPISKEDSLNARYFLKYHGSAQFLDSYLPEDLNSLYVFHLIKLLGFQLKDRELLTAVQKAVQNDVTSGVSSVVGTNPMVERVSPPQLSASTPSGDGYDDPLEKKHAVRLIKDLQKAMNKVLSTRIRLANFFTLDHFISKLKSAKKVLVLTGAGISTSLGIPDFRSSKGFYSQVTNLGLDDPQDVFNLDIFMENPSVFYTIAEKILPPEHKFSPLHSFIKMIQDKGKLLRNYTQNIDNLESYAGIFKENIVQCHGSFATASCVTCHLKMPGERIFQQIKDREIPLCAYCYPKRQEEYPTVSDDPGTKNGQQSSHNSSSIFHMSRSFGVIKPDITFFGEALPLEFHTNIRQDVLQCDLLICIGTSLKVAPVSEIVNMVPAHVPQVLINRDPVKHAEFDLTLLGLCDDVAAFIAQKCGWDIPHENWPQLKQRNIQYDELERGMYYVYDPVKEQAKDTGQRQVQAP