P20439 G2/mitotic-specific cyclin-B MolNFT, Molecular NFT on GenesisL1

G2/mitotic-specific cyclin-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieqe6wlc623z5w773xkychmr2wwpqzowgiatgfskxhu5y6ldf4opi/metadata.json

IPFS of structure file:

bafybeibwekkdw3akemcm4timaj25pbnyeik35jitpax3kkb75uloz73bqm/AF-P20439-F1-model_v2.pdb

First NFT owner address (eip-55):

0xe354e80AEdde0A05f672D405ccd4E5dC19c865fC

First NFT owner address (bech32):

genesis1ud2wszhdmc9qtanj6szue489msvuse0uvqfwfg

Current NFT ID #55382 owner (web3):

0x66bFFa4C9162dc4Dd32cdE1A254C6c3764f7BA10

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
55382
Accession (UniProt):
P20439
Name::
G2/mitotic-specific cyclin-B
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 P20439 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20439|CCNB_DROME G2/mitotic-specific cyclin-B OS=Drosophila melanogaster OX=7227 GN=CycB PE=1 SV=2 MVGTTLKMRGDENASENFKQVQLKKLTVPSMEATTKRAALGDLQNRGISRPIAAKDAAQKDSKDLKLTDALRNAKARVDSHWKKQPLGSTNGNGNGAVPPKVNEGGVSAFLRSNSVRNRVPTKTTVEPTKVTVKSSSSENVNEPTLKREDSNLSKKSLTKLRAALAKPVMGVSGIRREPVAVSRKEAETKKELPETKKDSLEVKKDATRMPLIRGNSAVTTTTSTMPTTMSLSSKRLAGIEDIDANDKENLVLVSEYVNDIYDYLYQVELEQPIHKDHLAGQKEVSHKMRAVLIDWINEVHLQFHLAAETFQLAVAIIDRYLQVVKDTKRTYLQLVGVTALFIATKYEELFPPAIGDFVFITDDTYTARQIRQMELQIFKAIDCNLSRPLPIHFLRRYSKAAGAEDEHHTMSKYFIELASVDYEMATYRPSEIAAASLFLSLHLLNGNHRAGTGFNDRHWTPTLTFYSRYSAAHLRPITRLIAKLARDAPQAKLKAIYNKYQGSKFQKIALRTELTGALMDSIVGQSQRK

P20439 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P20439 research and analysis (ICN3D with VR)

FASTA sequences

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