Q65DW5 AF NFT

Serine hydroxymethyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7uxzrvqhs6dmgqypwjpheoiah7vdqrx4nhxilcx5ifq7gwi5yua/metadata.json
IPFS of structure file: 
bafybeie2maugeygt7x3wxgia246jxdoalhsoqajlbb46z3vkfbdei4w3je/AF-Q65DW5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa02b5090CBcB455f0D7C37e6025D7C5a50E46d18
First NFT owner address (bech32): 
genesis15q44pyxtedz47rtuxlnqyhtutfgwgmgc5lytg2
Current NFT ID #153382 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
153382
Accession (UniProt):
Q65DW5
Name::
Serine hydroxymethyltransferase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65DW5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65DW5|GLYA_BACLD Serine hydroxymethyltransferase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=glyA PE=3 SV=1 MKHLPAQDEQVFSAIQDERKRQQSKIELIASENFVSEAVMEAQGSVLTNKYAEGYPGKRYYGGCEHVDVAEDIARDRAKQIFGAEHVNVQPHSGAQANMAVYFTILEHGDTVLGMNLAHGGHLTHGSPVNFSGVQYNFVEYGVDKETQYIDYEDVREKALKHKPKLIVAGASAYPRTIDFKKFREIADEVGAYVMVDMAHIAGLVAAGLHPNPVPYADFVTTTTHKTLRGPRGGMILCREEFAKQIDKSIFPGIQGGPLMHVIAAKAVSFGEALKDEFKTYAQNVINNAKRLAETLKKEGIELVSGGTDNHLVLVDLRSLGITGKVAENVLDEVGITVNKNAIPYDPEKPFVTSGIRVGTAAVTSRGFDLEAIEEVGAIIALALKNHEDEAKLEEAKQRVEALTNRFPLYTGLDY