A0A345BJP0 Squalestatin tetraketide synthase clz2 MolNFT, Molecular NFT on GenesisL1

Squalestatin tetraketide synthase clz2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibiedk2cviu4qbeici7msguo2svegddtln442mwij4ddrnkxrolem/metadata.json

IPFS of structure file:

bafybeifkjfg6eovnwhtn64jxnnqq7v6psk3xn6lsynzxpdqisoid363wim/AF-A0A345BJP0-F1-model_v2.pdb

First NFT owner address (eip-55):

0xfAEAF51Ab1C077b86505caA5d00c4937c9795c60

First NFT owner address (bech32):

genesis1lt402x43cpmmseg9e2jaqrzfxlyhjhrqy345ha

Current NFT ID #67444 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
67444
Accession (UniProt):
A0A345BJP0
Name::
Squalestatin tetraketide synthase clz2
Experimental Method:
Predicted structure
Sequence source:
COCHLIOBOLUS LUNATUS

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 A0A345BJP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A345BJP0|CLZ2_COCLU Squalestatin tetraketide synthase clz2 OS=Cochliobolus lunatus OX=5503 GN=clz2 PE=3 SV=1 MPAMEETQFHDDATVPIAIVGMSCRFPGNATSPEKLWELCSEGRSAWSKIPKSRFRQEGFYNPNAERVGTSNVIGGHFLEEDPSLFDASFFNLSAEAAKTMDPQFRLQLESVYEAMESAGITLEHFAGSDTSVYAGACFRDYQDSLVRDPDLVPRFLLTGNGAAMSSNRISYFYDLHGASMTVDTGCSTTLTALHLACQGLRNRESKTSIVTGANVILNPDMFVTMSSLGLDDALRENDTIRCIIRGTALNQDGKTATLTSPSQTAQSDLIRACYKAAALDPSDTAFLAAHGTGTRTGDAVEISAAADVFGENRLPDRPLWIGSLKTNIGHSEAISGLASVIQAALALEKGLIPPNINFKEPNEKLDQVSAVVKVPSTLEKWPVGSGVRRASVNNFGYGGANAHVILESVTTGSTHRADVNGHHQKNGTTNGHKGANGTTNELNGTNGTANGHDITTGTKDYEQLESFVIALSAKEEASTSSMVTNIGDYVRKLHVEDETKHLKSIAHTLGNHRSMFKWTAAKSIKSLGDLLGTAEEGAQWFAMGRELINTYPVFRQSLDRADRYLKEFGCEWSIIEELSRDAETTNVNDMMLSPPLCTAVQISLVLLLESWGIVSTAVTGHSSGEIAAAYAAGALDFRSAMAVTYFRGEVGLACQDKIVGQGGMIAVGLGPEDAEIRIAHVQSGKIVIACINSQSSVTVSGDLTGIVELEELLKAEGVFARRVKVQAAYHSHHMQVIAKGYLTSLKDILKPGKNFGEIIYSSPTTGKRETNVKLMASPQHWVNNMLSPVRFAESFQNMCFSNQKSSQSGEESRDVDIVLEVGPHGMLQGPIQQMMSLPRFETARIPYLSCLLRGQSAVHTMQTLAAGLMGLGYRVDLAAVNFPQGTSGVKVLHDLPSYPWNHKNSHWWEPRLNKAHRQRVHPPHDLLGSLIPGRDLREPTWRHFIRVHDIPWIRDHVVQSQLVYPGAGFICMAIEAMSQFHDLKDSQSKKIAGYRLADIDILRAMIVPDTLEGLEAHISLRPCSTKLLLTNDWYEFCVSSVGDDDRFLDHCRGRIAIELDTSNMADAAMTSSRGYSHTTGLTRSVDPSNLYRFLRAQGIYHGPIFQNLETISSRKNHSKSSFVVANTASVMPNGFQNPHIIHPTTLDSIFQGAYTALPGAGLDRNTAMIPRSIQELYLSSALTSEVGQCLVSDTSLIRYDGQSFTVNVDVSSKADNKHKPILEIKGLRNQSVGQIALQKGDSSNNDLCFKLDWALDISSVKQERLKEKFGFPLDPAEAHIIMGLRQACLYFIRQTLQSLTSSDRDQLDWHQKRFYDWMMYQIQLAKEDRLGPNSSAWLQCSSSDEQKLLENVRAASVNGEMVVHVGGSIPAILRHEIAPLELMLQDKQLYRYYTDAIKWDRSYQQIDQLVKLHAHKCPTAKIIEIGGGTGGCTRAVLDALSNHGAARCEQYDFTDVSSGFFEAAQQKFAAFADVIRFQKLDIEKDIEMQGFESGSYDLVIASQVLHATGVMENTMSNVQKLLKPGGKLLLVETTRDEMDLQLVFGLLPGWWLSSEEERKMSPSLSVNSWEKVLKKTGFNGLDVELRDCDSDEFYSFSVMMATASSTIASNSIEAAIVHGEVPLPDQFLDDLKAAISSFAGLHPVVGPLKSIDVTGKFCIFIEDPETNILSSPDENSYASIKELVTRCKGLIWVSRGGAMHGTRPDSSLKTGLLRTLRLEYTEKRLISLDLDPARPQWDYDSITTISEVLRQALVQQADSPIKDSEFAEQDGQLFVPRISSDISRNDNLSSDSARAAQMEPFHQLGKLLQMGIKTPGLIDTLQFSKTDAPDNLANDYIEIEPKAFGLNFRDVMVAMGQLEESIMGFECAGIVRRVGPSSADHGIKVGDRVCALLGGQWTNTVRVHWHSVAPIPETMNWETAASIPIVHVTAYISLVKIAKMQAGETVLIHAASGGVGQAAIILAKHAGAEIFATVGTDEKRELLVKVYKIPEDHIFLSRNALFAKNIRRKTNGKGVDVVLNCLAGGLLQESFDCLADFGRFIEIGKRDIELNHCLNMGMFARSTTFTAVDLIAIGRDRSYMVAEALPKIMALLQEKAIRPVTPISIYKIGDIETAFRLMQAGKHMGKIVITAPEDAMVPVVTQPPKLQLHPDASYLIVGGLGGIGRSLCRNFIENGARSLVLLSRNANVSQQSGEFLDELRSTSCIVHVVDCDISNKTQVESTMLRLKQELLPIRGIVHAGMVLQDSVFERMTLEDYNTAIRPKVQGSWNLHSGLSDRDLDFFIMLSSLAGVSGSASQANYTAGGAYQDALAKHRRVQGLPAVSIDLGMVQSVGYVAETKGVAERLVRMGYSPISELEVLKIVEHAITNPPPEISSGQIITGISTKPGRHWTESSWLQDARFATLRERARDAKEQSNSQGGGTDSKISPGQELSMATSLVEAIDVVGRAITAKLATMFLIAAESIIASKSLSEYGVDSLVAVELRNWLAAQLSSDVSVFDVTQSQSLTALATTVATKSARINKSLLVA

A0A345BJP0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A0A345BJP0 research and analysis (ICN3D with VR)

FASTA sequences

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