Bioengineering

  1. AI.zymes: A Modular Platform for Evolutionary Enzyme Design

    1. Lucas P. Merlicek
    2. Jannik Neumann
    3. Abbie Lear
    4. Vivian Degiorgi
    5. Moor M. de Waal
    6. Tudor‐Stefan Cotet
    7. Adrian J. Mulholland
    8. H. Adrian Bunzel

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Antibody affinity engineering using antibody repertoire data and machine learning

    1. Lena Erlach
    2. Simon Friedensohn
    3. Daniel Neumeier
    4. Derek M. Mason
    5. Sai T. Reddy

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  3. 3D Mechanical Confinement Directs Muscle Stem Cell Fate and Function

    1. GaYoung Park
    2. Josh A. Grey
    3. Foteini Mourkioti
    4. Woojin M. Han

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Heart Scar-In-A-Dish: Tissue Culture Platform to Study Myocardial Infarct Healing In Vitro

    1. MJ Potter
    2. JD Heywood
    3. SJ Coeyman
    4. WJ Richardson

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Toward De Novo Protein Design from Natural Language

    1. Fengyuan Dai
    2. Shiyang You
    3. Yudian Zhu
    4. Yuan Gao
    5. Lihao Fu
    6. Xibin Zhou
    7. Jin Su
    8. Chentong Wang
    9. Yuliang Fan
    10. Xiaoxiao Ma
    11. Xianjun Deng
    12. Letong Yu
    13. Hui Qian
    14. Yan He
    15. Yitao Ke
    16. Chenchen Han
    17. Xing Chang
    18. Liangzhen Zheng
    19. Sheng Wang
    20. Yajie Wang
    21. Anping Zeng
    22. Shunzhi Wang
    23. Tong Si
    24. Jianming Liu
    25. Hongyuan Lu
    26. Fajie Yuan

    Reviewed by Arcadia Science

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. Self-Organizing Neural Networks in Novel Moving Bodies: Anatomical, Behavioral, and Transcriptional Characterization of a Living Construct with a Nervous System

    1. Haleh Fotowat
    2. Laurie O’Neill
    3. Léo Pio-Lopez
    4. Megan Sperry
    5. Patrick Erickson
    6. Tiffany Lin
    7. Michael Levin

    Reviewed by Arcadia Science

    4 evaluationsAppears in 1 listLatest version Latest activity

  7. Free‐Form Microfluidic Microneedle Array Patches

    1. Ian A. Coates
    2. Madison M. Driskill
    3. Netra U. Rajesh
    4. Gabriel Lipkowitz
    5. Dan Ilyn
    6. Yue Xu
    7. Maria T. Dulay
    8. Gunilla B. Jacobson
    9. John R. Tumbleston
    10. Jillian L. Perry
    11. Shaomin Tian
    12. Joseph M. DeSimone

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Isolating Small Extracellular Vesicles from Small Volumes of Blood Plasma using size exclusion chromatography and density gradient ultracentrifugation: A Comparative Study

    1. Fang Kong
    2. Megha Upadya
    3. Andrew See Wong Weng
    4. Rinkoo Dalan
    5. Ming Dao

    • Curated by eLife

      eLife Assessment

      This work provides a simple, rapid and valuable protocol for the isolation of small extracellular vesicles from small volumes of plasma, using two well-known methodologies, in tandem: size exclusion chromatography (SEC) and density gradient ultracentrifugation (DGUC). The authors exhaustively test these methodologies separately and in combination, showing superior results for the SEC-DGUC in terms of purity and yield. The results obtained in this work are convincing, using multiple state-of-art methodologies for the characterization of the isolates that support their conclusions.

    Reviewed by eLife

    6 evaluationsAppears in 1 listLatest version Latest activity

  9. Development of antigen-dextramers for detection and evaluation of CAR T cells

    1. Rasmus U. W. Friis
    2. Maria Ormhøj
    3. Cecilie S. Krüger-Jensen
    4. Markus Barden
    5. Keerthana Ramanathan
    6. Mikkel R. Hansen
    7. Hinrich Abken
    8. Sine R. Hadrup

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Lab-in-the-loop therapeutic antibody design with deep learning

    1. Nathan C. Frey
    2. Isidro Hötzel
    3. Samuel D. Stanton
    4. Ryan Kelly
    5. Robert G. Alberstein
    6. Emily K. Makowski
    7. Karolis Martinkus
    8. Daniel Berenberg
    9. Jack Bevers
    10. Tyler Bryson
    11. Pamela Chan
    12. Yongmei Chen
    13. Alicja Czubaty
    14. Tamica D’Souza
    15. Henri Dwyer
    16. Anna Dziewulska
    17. James W. Fairman
    18. Allen Goodman
    19. Jennifer Hofmann
    20. Henry Isaacson
    21. Aya Ismail
    22. Samantha James
    23. Taylor Joren
    24. Simon Kelow
    25. James R. Kiefer
    26. Matthieu Kirchmeyer
    27. Joseph Kleinhenz
    28. James T. Koerber
    29. Julien Lafrance-Vanasse
    30. Andrew Leaver-Fay
    31. Jae Hyeon Lee
    32. Edith Lee
    33. Donald Lee
    34. Wei-Ching Liang
    35. Joshua Yao-Yu Lin
    36. Sidney Lisanza
    37. Andreas Loukas
    38. Jan Ludwiczak
    39. Sai Pooja Mahajan
    40. Omar Mahmood
    41. Homa Mohammadi-Peyhani
    42. Santrupti Nerli
    43. Ji Won Park
    44. Jaewoo Park
    45. Stephen Ra
    46. Sarah Robinson
    47. Saeed Saremi
    48. Franziska Seeger
    49. Imee Sinha
    50. Anna M. Sokol
    51. Natasa Tagasovska
    52. Hao To
    53. Edward Wagstaff
    54. Amy Wang
    55. Andrew M. Watkins
    56. Blair Wilson
    57. Shuang Wu
    58. Karina Zadorozhny
    59. John Marioni
    60. Aviv Regev
    61. Yan Wu
    62. Kyunghyun Cho
    63. Richard Bonneau
    64. Vladimir Gligorijević

    Reviewed by Arcadia Science

    4 evaluationsAppears in 1 listLatest version Latest activity
Previous Page 3 of 27 Next