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Antibodies, Volume 9, Issue 2

June 2020 - 20 articles

Cover Story: Driven by its successes across domains such as computer vision and natural language processing, deep learning has recently entered the field of biology by aiding in cellular image classification, finding genomic connections, and advancing drug discovery. While deep learning techniques have more often been applied to small molecules, new approaches are being developed to apply these same principles of deep learning to biologics, such as antibodies. Both at the sequence and structural level, these approaches are showing a significant improvement over conventional methods and are poised to improve alongside advancements in deep learning in general. View this paper
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Articles (20)

  • Article
  • Open Access
34 Citations
11,446 Views
11 Pages

In recent years, site-specific antibody drug conjugates (ADC)s have been in great demand because they have an expanded therapeutic index compared with conventional ADCs. AJICAP™ technology is a chemical conjugation platform to obtain site-specific AD...

  • Article
  • Open Access
11 Citations
6,287 Views
15 Pages

Human cathelicidin LL37 is a cationic antimicrobial peptide active against bacteria and viruses and exerting immune modulatory functions. LL37 can be also a target of autoreactive B- and T-lymphocytes in autoimmune settings. Irreversible post-transla...

  • Concept Paper
  • Open Access
7 Citations
5,977 Views
17 Pages

Adaptive immunity in vertebrates is a complex self-organizing network of molecular interactions. While deep sequencing of the immune-receptor repertoire may reveal clonal relationships, functional interpretation of such data is hampered by the inhere...

  • Review
  • Open Access
56 Citations
18,565 Views
22 Pages

A Review of Deep Learning Methods for Antibodies

  • Jordan Graves,
  • Jacob Byerly,
  • Eduardo Priego,
  • Naren Makkapati,
  • S. Vince Parish,
  • Brenda Medellin and
  • Monica Berrondo

28 April 2020

Driven by its successes across domains such as computer vision and natural language processing, deep learning has recently entered the field of biology by aiding in cellular image classification, finding genomic connections, and advancing drug discov...

  • Article
  • Open Access
6 Citations
4,832 Views
9 Pages

Mapping Immunodominant Antibody Epitopes of Abrin

  • Ron Alcalay,
  • Reut Falach,
  • Yoav Gal,
  • Anita Sapoznikov,
  • Tamar Sabo,
  • Chanoch Kronman and
  • Ohad Mazor

27 April 2020

Abrin, a toxin isolated from the seeds of Abrus precatorius (jequirity pea) is considered a biological threat agent by the Center for Disease Control and Prevention. To date, there is no effective postexposure treatment for abrin poisoning, and effor...

  • Article
  • Open Access
1 Citations
6,126 Views
17 Pages

Ion Binding Properties of a Naturally Occurring Metalloantibody

  • Elinaz Farokhi,
  • Jonathan K. Fleming,
  • M. Frank Erasmus,
  • Aaron D. Ward,
  • Yunjin Wu,
  • Maria G. Gutierrez,
  • Jonathan M. Wojciak and
  • Tom Huxford

16 April 2020

LT1009 is a humanized version of murine LT1002 IgG1 that employs two bridging Ca2+ ions to bind its antigen, the biologically active lipid sphingosine-1-phosphate (S1P). We crystallized and determined the X-ray crystal structure of the LT1009 Fab fra...

  • Article
  • Open Access
5 Citations
5,232 Views
17 Pages

Exploration and Modulation of Antibody Fragment Biophysical Properties by Replacing the Framework Region Sequences

  • Thomas Cnudde,
  • Zineb Lakhrif,
  • Justine Bourgoin,
  • Fanny Boursin,
  • Catherine Horiot,
  • Corinne Henriquet,
  • Anne di Tommaso,
  • Matthieu Olivier Juste,
  • Isabella Gizzi Jiacomini and
  • Isabelle Dimier-Poisson
  • + 3 authors

In order to increase the successful development of recombinant antibodies and fragments, it seems fundamental to enhance their expression and/or biophysical properties, such as the thermal, chemical, and pH stabilities. In this study, we employed a m...

  • Article
  • Open Access
8 Citations
8,419 Views
17 Pages

Fast Confirmation of Antibody Identity by MALDI-TOF MS Fingerprints

  • Georg Tscheuschner,
  • Timm Schwaar and
  • Michael G. Weller

Thousands of antibodies for diagnostic and other analytical purposes are on the market. However, it is often difficult to identify duplicates, reagent changes, and to assign the correct original publications to an antibody. This slows down scientific...

  • Communication
  • Open Access
7 Citations
7,572 Views
17 Pages

Molecular Interaction Characterization Strategies for the Development of New Biotherapeutic Antibody Modalities

  • Xiangdan Wang,
  • Minh Michael Phan,
  • Ji Li,
  • Herman Gill,
  • Simon Williams,
  • Nidhi Gupta,
  • Valerie Quarmby and
  • Jihong Yang

The characterization of target binding interactions is critical at each stage of antibody therapeutic development. During early development, it is important to design fit-for-purpose in vitro molecular interaction characterization (MIC) assays that a...

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Antibodies - ISSN 2073-4468