SwiftLib: rapid degenerate-codon-library optimization through dynamic programming - Wikidata - wikimedia - TriplyDB

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

http://www.wikidata.org/entity/Q35171535

about

Molecular mechanisms for enhanced DNA vaccine immunogenicity.HotSpot Wizard 2.0: automated design of site-specific mutations and smart libraries in protein engineering.Semirational Protein Engineering of CYP153AM.aq. -CPRBM3 for Efficient Terminal Hydroxylation of Short- to Long-Chain Fatty Acids.Enriching Peptide Libraries for Binding Affinity and Specificity Through Computationally Directed Library Design.Algorithms for protein design.Massively parallel de novo protein design for targeted therapeutics.RosettaAntibodyDesign (RAbD): A general framework for computational antibody design.

P2860

Q30366743-685C7840-9AAE-4588-8099-0E80DFE7D7B2 Q30388053-5F0D8D61-5782-4A4E-AF3E-54FC92C653D5 Q36037412-96536438-DF2F-47FA-A8F8-EB9CE9FA4225 Q36290587-EB9AAF99-6445-4EDE-A427-C2CAA21E1096 Q38810159-AD0AB285-3CF9-436E-9E73-CAD85FB82A5F Q46331477-8BBBB282-D659-468D-88FA-18E3C15B0053 Q52716245-17FD2E62-5E16-44F2-9625-BE692B0007FF

P2860

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

http://www.wikidata.org/entity/Q35171535

description

2014 nî lūn-bûn

@nan

2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@ast

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@en

type

label

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@ast

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@en

prefLabel

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@ast

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@en

P1433

Q35171535-76829CFC-7370-4519-BA58-E2688D91E405

P1476

Q35171535-80BCF621-9F80-47F0-A016-03291227A48A

P2093

Q35171535-24E0BD43-7CEC-4F91-B234-009DDD7736A5

P2860

Q35171535-08EE71F0-5508-4F79-9CBF-04046D68CC68

Q35171535-0B6FFE0A-97D7-488B-BFC7-58BC12898A90

Q35171535-0F10856A-958A-4236-AABD-29F65F33A2BE

Q35171535-1B3F6FDA-C8A1-4E42-837C-D4A8D98051B2

Q35171535-1D2FEB34-F3C5-46EA-A101-EF7DBE238512

Q35171535-1EBE4512-A910-45C0-B9BA-F39EAFDB6FC9

Q35171535-24B0E1C5-4E62-4A4D-9050-CD00BB13D043

Q35171535-24BB03BB-7E02-4B1F-97EE-330A55A99808

Q35171535-357B89EB-E0AB-4A7E-9825-269F86518C05

Q35171535-406E3FD3-F259-4839-BA67-B5776D163638

P304

Q35171535-9AB503D7-5B1D-4A66-BD81-FE8B2044757B

P31

Q35171535-DC89429A-26DC-4620-8C86-EBC43D07A875

P356

Q35171535-6A141E97-AF36-4E8C-90C6-6827276DEFCD

P407

Q35171535-30C0A9B2-43A5-4A7D-9B37-786E1FA8C13F

P433

Q35171535-36A9422B-5191-4DF8-9F22-8FB31A9D2168

P478

Q35171535-D9D83AB1-6099-4FC8-B9DE-4366C8159D02

P50

Q35171535-4DC26C35-35CE-4B69-9568-CE9E5DB44B38

Q35171535-A1DAFED5-EBB8-4D75-B044-613337EDF03C

Q35171535-B8627013-3810-4BBE-A18F-BFAEEB388F3C

P577

Q35171535-9517FE08-5520-4752-A358-79A2D45E6B6C

P5875

Q35171535-61A66D18-B68D-484C-9BF6-33D27A718B36

P698

Q35171535-17588121-4495-46B7-9882-98F948119018

P932

Q35171535-368EC804-0AC4-46CF-9766-973FEA391792

P356

P1433

Nucleic Acids Research

P1476

SwiftLib: rapid degenerate-codon-library optimization through dynamic programming

@en

P2093

Timothy M Jacobs

http://www.w3.org/2001/XMLSchema#string

P2860

Native protein sequences are close to optimal for their structures

High-affinity single-domain binding proteins with a binary-code interface

Evolutionary optimization of computationally designed enzymes: Kemp eliminases of the KE07 series

Generation of longer emission wavelength red fluorescent proteins using computationally designed libraries

Optimization of the In-Silico-Designed Kemp Eliminase KE70 by Computational Design and Directed Evolution

Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin

Computation-guided backbone grafting of a discontinuous motif onto a protein scaffold

Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing

Bridging the gaps in design methodologies by evolutionary optimization of the stability and proficiency of designed Kemp eliminase KE59

Precision is essential for efficient catalysis in an evolved Kemp eliminase

P304

e34

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/NAR/GKU1323

http://www.w3.org/2001/XMLSchema#string

P407

P433

5

http://www.w3.org/2001/XMLSchema#string

P478

43

http://www.w3.org/2001/XMLSchema#string

P50

Andrew Leaver-Fay

Hayretin Yumerefendi

P577

2014-12-24T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

270001344

http://www.w3.org/2001/XMLSchema#string

P698

25539925

http://www.w3.org/2001/XMLSchema#string

P932

4357694

http://www.w3.org/2001/XMLSchema#string