P47166 AF NFT

Protein SGM1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgokhy7umqnuj5ws32r62ukewgavat6rtooztcsugrh4u55d5n6i/metadata.json
IPFS of structure file: 
bafybeibmpairt4mkhs4due2yqvpz6o4tsbmuklo4h6s6l6os2d77eb3tfy/AF-P47166-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #427803 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
427803
Accession (UniProt):
P47166
Name::
Protein SGM1
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 P47166 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P47166|SGM1_YEAST Protein SGM1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=SGM1 PE=1 SV=1 MSKKLSLEERLSLATKKGRKKNKRSTSNLSSPSPVVLSNNEQESARTSIDDAAAGVVSIDNAENIDDPAVRSESTVEGDTGKADSIAVDDVVHPDHNRTDCFDDTMVSLPTWLPKNYTEFTVEELVKEISPEYLRLNKQIDDLTNELNRKSQIETTDSSFFKLIKEKDDLIDQLRKEGAKLAETELRQSNQIKALRTKVKDLEYEVSELNDSSAQSVENYNELQSLYHNIQGQLAEATNKLKDADKQKESLETLEKNIKEKDDLITILQQSLDNMRTLLEKEKSEFQTEKKALQEATVDQVTTLETKLEQLRIELDSSTQNLDAKSNRDFVDDQQSYEEKQHASFQYNRLKEQLESSKANWDSIEYALNTKIVNLENRFESTMKEKNDIEEKYQTALRSSETLGKQLEKEKENHSKAVLEVKDLERRAETLKSSLQSISDDYNLLKKKYEIQRSQLEQKENELKPHQENSNEKIIDKIPVELTDSLNSMEGNIEDEWTLPQENSMLSLSMSKLGELESDPSLKPIYNESHETICSEESQHFDRKNVDFSIDDIPEEAAALQAIREGESMNSLNNTSIPYRRASVQLSNSNGHISAHLVNKLSTELKRLEGELSASKELYDNLLKEKTKANDEILRLLEENDKFNEVNKQKDDLLKRVEQMQSKLETSLQLLGEKTEQVEELENDVSDLKEMMHQQVQQMVEMQGKMR