Transforming lignin into value-added products: Perspectives on lignin chemistry, lignin-based biocomposites, and pathways for augmenting ligninolytic enzyme production

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<i>Coot</i> : model-building tools for molecular graphics

Paul Emsley, Kevin Cowtan (2004)

Acta Crystallographica Section D Biological Crystallography, 60(12), 2126-2132

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Refinement of macromolecular structures by the maximum-likelihood method.

G Murshudov, A. A. Vagin, E Dodson (1997)

This paper reviews the mathematical basis of maximum likelihood. The likelihood function for macromolecular structures is extended to include prior phase information and experimental standard uncertainties. The assumption that different parts of a structure might have different errors is considered. A method for estimating sigma(A) using 'free' reflections is described and its effects analysed. The derived equations have been implemented in the program REFMAC. This has been tested on several proteins at different stages of refinement (bacterial alpha-amylase, cytochrome c', cross-linked insulin and oligopeptide binding protein). The results derived using the maximum-likelihood residual are consistently better than those obtained from least-squares refinement.

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Catalytic Transformation of Lignin for the Production of Chemicals and Fuels.

Changzhi Li, Xiaochen Zhao, Aiqin Wang … (2015)

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Author and article information

Journal

Title: Advanced Composites and Hybrid Materials

Abbreviated Title: Adv Compos Hybrid Mater

Publisher: Springer Science and Business Media LLC

ISSN (Print): 2522-0128

ISSN (Electronic): 2522-0136

Publication date Created: February 2024

Publication date (Electronic): February 07 2024

Publication date (Print): February 2024

Volume: 7

Issue: 1

Article

DOI: 10.1007/s42114-024-00836-3

SO-VID: c0be65e5-f999-4ba2-b6b8-4f03d291feb0

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https://www.springernature.com/gp/researchers/text-and-data-mining

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