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We have shown that a very detailed library allows the introduction of a safe energy threshold rejection criterion, thereby increasing both the execution speed and the accuracy of the modelling program. We speculate that the current method will allow the sidechain prediction of medium-sized proteins and complex protein interfaces involving up to 150 residues on low-end desktop computers.

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We have developed an original method for global optimization of protein side-chain conformations, called the Fast and Accurate Side-Chain Topology and Energy Refinement (FASTER) method. The method operates by systematically overcoming local minima of increasing order. Comparison of the FASTER results with those of the dead-end elimination (DEE) algorithm showed that both methods produce nearly identical results, but the FASTER algorithm is 100-1000 times faster than the DEE method and scales in a stable and favorable way as a function of protein size. We also show that low-order local minima may be almost as accurate as the global minimum when evaluated against experimentally determined structures. In addition, the new algorithm provides significant information about the conformational flexibility of individual side-chains. We observed that strictly rigid side-chains are concentrated mainly in the core of the protein, whereas highly flexible side-chains are found almost exclusively among solvent-oriented residues.

Although the conformational states of protein side chains can be described using a library of rotamers, the determination of the global minimum energy conformation (GMEC) of a large collection of side chains, given fixed backbone coordinates, represents a challenging combinatorial problem with important applications in the field of homology modelling. Recently, we have developed a theoretical framework, called the dead-end elimination method, which allows us to identify efficiently rotamers that cannot be members of the GMEC. Such dead-ending rotamers can be iteratively removed from the system under study thereby tracking down the size of the combinatorial problem. Here we present new developments to the dead-end elimination method that allow us to handle larger proteins and more extensive rotamer libraries. These developments encompass (i) a procedure to determine weight factors in the generalized dead-end elimination theorem thereby enhancing the elimination of dead-ending rotamers and (ii) a novel strategy, mainly based on logical arguments derived from the logic pairs theorem, to use dead-ending rotamer pairs in the efficient elimination of single rotamers. These developments are illustrated for proteins of various sizes and the flow of the current method is discussed in detail. The effectiveness of dead-end elimination is increased by two orders of magnitude as compared with previous work. In addition, it now becomes feasible to use extremely detailed libraries. We also provide an appendix in which the validity of the generalized dead-end criterion is shown. Finally, perspectives for further applications which may now become within reach are discussed.

Rational engineering methods can be applied with reasonable success to optimize physicochemical characteristics of proteins, in particular, antibodies. Here, we describe a combined CDR3 walking randomization and rational design-based approach to enhance the affinity of the human anti-gastrin TA4 scFv. The application of this methodology to TA4 scFv, displaying only a weak overall affinity for gastrin17 (K D ‫؍‬ 6 M), resulted in a set of nine affinity-matured scFv variants with near-nanomolar affinity (KD ‫؍‬ 13.2 nM for scFv TA4.112). First, CDR-H3 and CDR-L3 randomization resulted in three scFvs with an overall affinity improvement of 15-to 35-fold over the parental. Then, the modeling of two scFv constructs selected from the previous step (TA4.11 and TA4.13) was followed by a combination of manual and molecular dynamics-based docking of gastrin17 into the respective binding sites, analysis of apparent packing defects, and selection of residues for mutagenesis through phage display. Nine scFv mutants were obtained from the second maturation step. A final 454-fold improvement in affinity compared with TA4 was obtained. These scFvs showed an enhanced potency to inhibit gastrin-induced proliferation in Colo 320 WT and BxPc3 tumoral cells. In conclusion, we propose a structure-based rational method to accelerate the development of affinity-matured antibody constructs with enhanced potential for therapeutic use.antibody engineering ͉ gastrin ͉ in vitro affinity maturation ͉ pancreatic cancer

Recently it has been shown that the dead-end elimination theorem is a powerful tool in the search for the global minimum energy conformation (GMEC) of a large collection of protein side chains given known backbone coordinates and a library of allowed side chain conformational states, also known as rotamers. A side chain placement algorithm based on this theorem iteratively applies this theorem to single as well as to pairs of rotamers leading to the identification of rotamers, single or pairs, that are incompatible with the GMEC and that can thus be qualified as 'dead-ending'. Here we formulate a theorem which proves that contrary to intuition dead-end rotamer pairs cannot simply be discarded from consideration in the iterative process leading to the further elimination of dead-end rotamers. We refer to this theorem as the fuzzy-end elimination theorem. We also describe how the obtained dead-end rotamer pairs can contribute to the search for the GMEC in the protein side chain placement problem. Hence the present work forms a theoretical basis for the correct implementation of a side chain placement algorithm based on the dead-end elimination theorem. In addition, possible future perspectives are presented.

Protein scaffolds can provide a promising alternative to antibodies for various biomedical and biotechnological applications, including therapeutics. Here we describe the design and development of the Alphabody, a protein scaffold featuring a single-chain antiparallel triple-helix coiled-coil fold. We report affinity-matured Alphabodies with favourable physicochemical properties that can specifically neutralize human interleukin (IL)-23, a pivotal therapeutic target in autoimmune inflammatory diseases such as psoriasis and multiple sclerosis. The crystal structure of human IL-23 in complex with an affinity-matured Alphabody reveals how the variable interhelical groove of the scaffold uniquely targets a large epitope on the p19 subunit of IL-23 to harness fully the hydrophobic and hydrogen-bonding potential of tryptophan and tyrosine residues contributed by p19 and the Alphabody, respectively. Thus, Alphabodies are suitable for targeting protein–protein interfaces of therapeutic importance and can be tailored to interrogate desired design and binding-mode principles via efficient selection and affinity-maturation strategies.