Beyond a pedagogical tool: 30 years of Molecular Biology of the Cell

Serpente, Norberto

doi:10.1038/nrm3513

Cited by 9 publications

(10 citation statements)

References 15 publications

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“…These profusely illustrated textbooks on molecular and cell biology were translated into many languages, inhabited the shelves of University libraries worldwide, and swept the field. Therefore, these pedagogical tools changed the landscape of cell biology in the same way that The Beatles changes music 3 . One can be curious about the book jackets of the next editions of these textbooks.…”

Section: General Impact Of the Beatles On Scientistsmentioning

confidence: 99%

“…Potential inspiration of the textbook authors by the Beatles was suggested in an article that appeared 30 years after the first edition of MBoC 3 . This article written by Norberto Serpente was spiked with background information about the authorial team and editors of MBoC.…”

Section: General Impact Of the Beatles On Scientistsmentioning

confidence: 99%

“…Therefore, these pedagogical tools changed the landscape of cell biology in the same way that The Beatles changes music. 3 One can be curious about the book jackets of the next editions of these textbooks.…”

Section: General Impact Of the Beatles On Scientistsmentioning

confidence: 99%

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The Beatles in life sciences: Facts and fictions

Weiskirchen

2022

Biochem Molecular Bio Educ

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The Beatles formed in Liverpool are one of the most famous music groups in the history of pop considered as the best-selling artists in the category "band," with the highest amount of claimed record sales. With their foremost pioneering activities in songwriting, artistic presentation, and recording, the band revolutionized many aspects of music industry and impacted social developments. Although active as a foursome in the 1960s, their music and films still attract new generations all over the world. Similar to former periods, the popularity of the Beatles and the fanaticism toward the band (i.e., "Beatlemania") has an ongoing impact on society and culture. Mostly unknown, Beatles songs inspire scientists in daily work and are part of clinical studies investigating aspects of human health and disease. This review briefly discusses the influence of The Beatles on Life Sciences, highlights the "better than the Beatles problem" affecting new drug development, and discusses several examples in which The Beatles impacted progression in Medicine. Finally, it is discussed if the meteoric success of the band contributed to the rapid progress in modern radiology.

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Section: General Impact Of the Beatles On Scientistsmentioning

confidence: 99%

Section: General Impact Of the Beatles On Scientistsmentioning

confidence: 99%

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The Beatles in life sciences: Facts and fictions

Weiskirchen

2022

Biochem Molecular Bio Educ

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“…Proteins are large biomolecules that naturally evolved to perform specific biological functions. 1 One of the exciting advances in recent decades has been the ability to design and develop new synthetic proteins with desired properties. [2][3][4][5] Synthetic proteins have a myriad of applications ranging from vaccine development 6 to tackling environmental problems.…”

Section: Introductionmentioning

confidence: 99%

SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation

L¹,

Raghunathan²

2021

Preprint

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<div>Engineering proteins to have desired properties by mutating amino acids at specific sites is commonplace. Such engineered proteins must be stable to function. Experimental methods used to determine stability at throughputs required to scan the protein sequence space thoroughly are laborious. To this end, many machine learning based methods have been developed to predict thermodynamic stability changes upon mutation. These methods have been evaluated for symmetric consistency by testing with hypothetical reverse mutations. In this work, we propose transitive data augmentation, evaluating transitive consistency, and a new machine learning based method, first of its kind, that incorporates both symmetric and transitive properties into the architecture. Our method, called SCONES, is an interpretable neural network that estimates a residue's contributions towards protein stability dG in its local structural environment. The difference between independently predicted contributions of the reference and mutant residues in a missense mutation is reported as dG. We show that this self-consistent machine learning architecture is immune to many common biases in datasets, relies less on data than existing methods, and is robust to overfitting.</div><div><br></div>

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“…[ 1 ]. Initially brought in to contribute a single chapter on development to a first edition already underway, he so impressed the more senior authors with the clarity of his writing and his thought that he became a critical contributor to each of the book’s five editions over the last 30 years [ 2 ].…”

mentioning

confidence: 99%

Making sense in biology: an appreciation of Julian Lewis

Lander

2014

BMC Biol

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Beyond a pedagogical tool: 30 years of Molecular Biology of the Cell

Cited by 9 publications

References 15 publications

The Beatles in life sciences: Facts and fictions

The Beatles in life sciences: Facts and fictions

SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation

Making sense in biology: an appreciation of Julian Lewis

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