Antibody sequence and structure analysis assists biologic drug design
Submitting Institutions
University College London,
Birkbeck CollegeUnit of Assessment
Biological SciencesSummary Impact Type
EconomicResearch Subject Area(s)
Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Immunology
Summary of the impact
Research by Dr Andrew Martin at the UCL Research Department of Structural
& Molecular Biology
has led to a series of antibody-related tools being made available for
free use over the Web. One
of these, Abysis, has been visited over 360,000 times by over 8,000 users.
Abysis has also been
released under a commercial license and has been purchased by companies
ranging from small
biotechs to large pharma for use in their antibody therapeutic development
pipelines, allowing them
to identify unusual features of their sequences and to improve strategies
for humanisation. Martin
has also acted as an expert witness for drug companies in patent disputes.
Underpinning research
Martin's group is one of the only groups specialising in computational
analysis and prediction
related to antibodies. Since the invention of monoclonal antibodies, their
potential as `magic bullet'
drugs has been realised. However, it is only relatively recently that
problems in their use have been
overcome and antibodies now represent approximately a third of all drugs
in development. So-called
`fully human' antibodies from phage libraries have had mixed success in
the clinic and the
research in the Martin lab is a valuable contribution to developing
antibodies as drugs. In particular,
his research has led to the development of numerous widely used tools and
databases for analysis
of antibody sequence and structure, contributions to modelling antibodies,
an understanding of
VH/VL packing, and a measure of `humanness' of antibodies.
Between 1994 and 1999, Andrew Martin and Janet Thornton worked on the
application and related
analysis of a novel method for modelling antibody complementarity
determining region (CDR)
loops. In particular, Martin developed a new method for modelling long
antibody loops using
machine learning methods, and analysed binding site topography [1].
This work provided a
quantitative evaluation of the shape of antibody combining sites,
correlating this with the antigen
class. It also identified which amino acids of the binding site interact
with different classes of
antigen. He also developed a new database `Kabatman' allowing access to
Kabat antibody
sequence data and analysed CDR loop conformations, updating the manual
analysis of Chothia's
group in Cambridge with a new automated technique, expanding the analysis
of key residues
responsible for CDR conformation and therefore allowing better modelling
of their structure [2,3,4].
Martin continued this work at Reading between 1999 and 2004, where he
analysed antibody
sequences and collaborated with Rybak's group at the National Center for
Biotechnology
Information (Bethesda, MD) leading to grant of a patent on anti-CD22
antibodies (US Patent
7,456,260; 2008).
Back at UCL in 2004 (as Lecturer, and later Senior Lecturer), he
developed a new automated
method for applying standard numbering schemes to antibody sequences.
Various such schemes
have been devised, the most popular being the Kabat and Chothia schemes,
but there had been
no tools that applied these schemes automatically. Applying standard
numbering to antibody
sequences and structures, as allowed by Martin's research, is fundamental
to analysing their
properties [5]. In addition, he analysed the variation in VH/VL
domain packing, demonstrating that
this can vary by some 30o, and developed a machine learning
method to predict the packing angle — again
allowing improved prediction and modelling of antibody structure [6].
He developed
methods for assessing the `humanness' of antibodies by evaluating how
similar they are to the
expressed human repertoire [7]. Combining a number of these tools
and resources, he developed
the Abysis antibody database, an integrated resource based around a
relational database of
sequence and structure data together with a set of tools for analysing new
sequences.
References to the research
[2] Martin AC, Thornton JM. Structural families in loops of homologous
proteins: automatic
classification, modelling and application to antibodies. J Mol Biol. 1996
Nov 15;263(5):800-15.
http://dx.doi.org/10.1006/jmbi.1996.0617
[3] Martin AC. Accessing the Kabat antibody sequence database by
computer. Proteins. 1996
May;25(1):130-3. http://doi.org/bkn87w
[4] MacCallum RM, Martin AC, Thornton JM. Antibody-antigen interactions:
contact analysis and
binding site topography. J Mol Biol. 1996 Oct 11;262(5):732-45. http://doi.org/dfv7rj
Details of the impact
Provision of antibody-related tools and databases to the
pharmaceutical industry
Martin has been making antibody-related tools available for free use over
the Web since 1996
when KabatMan made the Kabat antibody sequence available in a manner that
let people perform
automated global analyses of antibody sequences for the first time.
The initial development of Abysis, a new integrated database of antibody
sequences and
structures, was funded by biopharmaceutical company UCB (2006-9) in return
for which they
received a version for in-house use. This is now their primary resource
for analysis of antibody
sequence and structure and is used as a repository for their own in-house
antibody sequence data
[a].
Abysis has been made freely accessible over the web since 2009. Between
October 2009 and
December 2012, Martin's antibody-related pages (including Abysis) have
been visited >570,000
times (Abysis >360,000) by nearly 43,000 distinct users (Abysis nearly
8,000). This represents an
average of >14,600 visits per month (Abysis >9,200) from >1,100
distinct users (Abysis >200) per
month. Commercial users of the online Abysis and the antibody web site
include: [text removed for
publication].
Abysis has also been released under a commercial license since the end of
2009 through UCL
Business for in-house use by commercial customers. It has been purchased
by companies ranging
from small biotechs to large pharma for use in their antibody therapeutic
development pipelines
and has grossed [text removed for publication] of sales on annual licences
[b]. Commercial users
with company installations of Abysis system include [text removed for
publication]. (All have been
purchased on annual licences, most of which have renewed each year.) UCB
and the other
companies that have purchased Abysis use it to store their in-house
sequence data and compare it
with public data. This enables them to identify unusual features of their
sequences and to improve
strategies for humanisation [c]. [text removed for publication]
[text removed for publication] also used the measure of humanness
available within Abysis to
show that Humira, the first `fully human' antibody (produced by phage
display), did not appear
especially human in nature. Recent results have shown that almost 30% of
patients develop anti-antibody
responses within three years, suggesting that this humanness measure may
well be a
useful tool to help predict immunogenicity, and it is being used within
Abysis for this purpose [f].
In recognition of the commercial impact of the Abysis software, the BBSRC
funded a 1-year project
under its `Follow-On' scheme for further commercial development and
marketing of Abysis starting
May 2013 [g]. This grant is allowing various improvements focused
on the needs of customers
such as easier installation, an improved interface, easier input of
proprietary sequence data and
interfacing with protein modelling software. In addition, it includes
funding for marketing including
market research and commercial stalls at key industry-attended
conferences.
Another of Martin's programs, his ProFit software for protein structure
least squares fitting has over
75 commercial users including [text removed for publication] [h].
Drug development
Collaborations with other UCL groups include work on anti-DNA antibodies
in systemic lupus
erythamatosus (Kalsi et al., 1996; Ravirajan et al., 1998). Here,
expertise in antibody modelling led
to structural models of antibodies interacting with DNA that were tested
though mutations. Other
collaborations include work on features of fine specificity (Lie et al.,
1999) and expression
(Kipriyanov et al., 1997; Saldanha et al., 1999), the latter suggesting
mutations that significantly
improved expression and/or stability without affecting binding.
A review of the patent literature has shown that over 800 patents were
published in the REF period
where the patent applications cite the publications given above,
indicating significant commercial
relevance of Martin's work. The list of assignees that hold patents citing
Martin's research papers
include: Hoffman-La Roche, Novartis, AstraZeneca, GlaxoSmithKline, Abbott
Laboratories and
many more, around topics including antitumor antibodies, fibronectin
cradle molecules,
amyloidogenic disease and recombinant anti-interleukin-9 antibodies [i].
Recently, a collaboration with the French Centre de Recherche du Service
de Santé des Armées
(CRSSA) [j] led to Idec no longer maintaining their patent
restricting the use of macaque antibodies
as therapeutics (US5693780). Martin's measure of humanness, available
within Abysis, has shown
that, contrary to claims in the Idec patent, macaque antibodies can be
distinguished from human
antibodies. This has therefore given freedom to operate, in the use of
macaque antibodies as
therapeutics, to all commercial companies as well as for development by
the CRSSA.
Provision of expert witness in court cases
Martin's expertise in antibodies was recognized by UCB who asked him to
act as an expert witness
in a series of related patent disputes from 1998 onwards, while his
general expertise in
bioinformatics was recognized by Human Genome Sciences and GlaxoSmithKline
who asked him
to be an expert witness in cases related to gene patenting. Those within
the impact period of 2008-13
are described below.
2007-8 — Lilly vs. HGS (EP0939804B1, Ebner et al) [k, l]. Lilly
challenged the validity of HGS's
patent on neutrokine alpha (also known as Blyss or BAFF) on the grounds of
industrial application
and obviousness. This was a very important case for Biotech in the UK.
Lilly claimed that it was
obvious that this gene/protein was a member of the TNF family and
therefore there was no
inventive step. Martin argued for HGS in the UK courts that it was not
obvious what this gene
would do, showing the complexity of the bioinformatics involved in
identifying its function. This is an
important area for all genes/proteins whose function is determined through
Bioinformatics
approaches. The judge in the initial UK hearing was fully convinced by
Martin's evidence and this
area was never questioned again during the subsequent appeals [m].
2010-11 — lnterference 105,705, US Application 10/938,117 (Adair et al.)
v US6180370 (Queen et
al.). UCB counter-attacked PDL claiming that PDL's patent interfered with
their own. While it has
stood up in court, the PDL patent is open to certain interpretations that
mean that (depending on
the priority date to which it is entitled), it may be pre-empted by
various pieces of prior art. A
settlement was reached out of court [n].
2011 — Appeal on refusal to grant patent — Colombian patent application
[text removed for
publication]. While UCB have been successful in gaining patents in most
countries, the Columbian
patent office refused to grant a patent and Martin was asked to give an
expert opinion on matters
related to the grounds for refusal [n].
Sources to corroborate the impact
[a] Director, V-Region Discovery & Engineering, UCB. Can corroborate
company's engagement
with Abysis. Contact details provided.
[b] A report on Abysis income from UCL Business is available on request.
[c] Abysis is available from http://www.e-lucid.com/i/software/bioinformatics/Abysis.html
and
through Ebisu (UK) http://www.chemogenomix.com/chemogenomix/Abysis.html.
The latter
website corroborates details of how the software is used.
[d] [text removed for publication]
[e] [text removed for publication]
[f] Bartelds GM, Krieckaert CL, Nurmohamed MT et al. Development of
antidrug antibodies
against adalimumab and association with disease activity and treatment
failure during long-term
follow-up. JAMA. 2011 Apr 13;305(14):1460-8.
http://jama.jamanetwork.com/article.aspx?articleid=896649
[g] "Commercializing Abysis — An Integrated Resource For Storing And
Analyzing Antibody
Sequence And Structure" BB/K015443/1, £161,293.42, 13/05/2013 to
12/05/2014.
[h] http://www.bioinf.org.uk/software/profit/index.html.
Report on downloads and users available on
request.
[i] Report by Cambridge IP Ltd available on request.
[j] Thullier P, Huish O, Pelat T, Martin AC. The humanness of macaque
antibody sequences. J
Mol Biol. 2010 Mar 12;396(5):1439-50. http://dx.doi.org/10.1016/j.jmb.2009.12.041.
[k] Details of the court case are available from:
http://www.bailii.org/ew/cases/EWHC/Patents/2008/1903.html
[l] Letter of support from the legal representatives of HGS available on
request.
[m] Full discussion of subsequent appeals is available at
http://ipkitten.blogspot.co.uk/2011/11/human-genome-sciences-v-eli-lilly.html
[n] Can be verified by Associate General Patent Counsel, UCB. Contact
details provided.