Quantum chemical computations on a subset of a large molecule can be performed, at the neglect of diatomic differential overlap (NDDO) level, without further approximation provided that the atomic orbitals of the frontier atoms are replaced by parametrized orthogonal hybrid orbitals. The electrostatic interaction with the rest of the molecule, treated classically by the usual molecular mechanical approximations, is included into the selfconsistent field (SCF) equations. The first and second derivatives of energy are obtained analytically, allowing the search for energy minima and transition states as well as the resolution of Newton equations in molecular dynamics simulations. The local self-consistent field (LSCF) method based on these approximations is tested by studying the intramolecular proton transfer in a Gly-Arg-Glu-Gly model tetrapeptide, which reveals an excellent agreement between a computation performed on the whole molecule and the results obtained by the present method, especially if the quantum subsystem includes the side chains and the peptidic unit in between. The merits of the LSCF method are examplified by a study of proton transfer in the Asp69-Arg7' salt bridge in dihydrofolate reductase. Simulations of large systems, involving local changes of electronic structure, are therefore possible at a good degree of approximation by introducing a quantum chemical part in molecular dynamics studies. This methodology is expected to be very useful for reactivity studies in biomolecules or at the surface of covalent solids.

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Fragment-based drug discovery (FBDD) is well suited for discovering both drug leads and chemical probes of protein function: it can cover broad swaths of chemical space and allows the use of creative chemistry. FBDD is widely implemented for lead discovery in industry, but is sometimes used less systematically in academia. Design principles and implementation approaches for fragment libraries are continually evolving, and the lack of up-to-date guidance may prevent more effective application of FBDD in academia. This Perspective explores many of the theoretical, practical, and strategic considerations that occur within FBDD programs, including the optimal size, complexity, physicochemical profile, and shape profile of fragments in FBDD libraries, as well as compound storage, evaluation, and screening technologies. This compilation of industry experience in FBDD will hopefully be useful for those pursuing FBDD in academia.Rules are for the obedience of fools and the guidance of wise men.Harry Day, Royal Air Force (1898-1977

Articles you may be interested in (2014)] is proposed. We also use localized orbitals to partition the system, but instead of augmenting the Fock operator with a somewhat arbitrary level-shift projector we solve the Huzinaga-equation, which strictly enforces the Pauli exclusion principle. Second, the embedding of WFT methods in local correlation approaches is studied. Since the latter methods split up the system into local domains, very simple embedding theories can be defined if the domains of the active subsystem and the environment are treated at a different level. The considered embedding schemes are benchmarked for reaction energies and compared to quantum mechanics (QM)/molecular mechanics (MM) and vacuum embedding. We conclude that for DFT-in-DFT embedding, the Huzinaga-equation-based scheme is more efficient than the other approaches, but QM/MM or even simple vacuum embedding is still competitive in particular cases. Concerning the embedding of wave function methods, the clear winner is the embedding of WFT into low-level local correlation approaches, and WFT-in-DFT embedding can only be more advantageous if a non-hybrid density functional is employed. Published by AIP Publishing.[http://dx